Alexander Volfovsky is an associate professor in the departments of statistical science and computer science at Duke University. He serves as director of graduate studies in statistical science and is the director of the causality at Duke Research Initiative.

His research develops theory and methods for causal inference and experimental design in complex systems. He studies settings involving social networks, text and AI, where researchers may not know in advance which measurements matter, how individuals or units influence one another or how limited experimental resources should be allocated. His work examines how experiments can learn this structure as they unfold while preserving credible causal conclusions. More broadly, he is interested in using principled statistical reasoning to improve scientific decision-making and support the development of AI systems that are reliable, trustworthy and effective.

Before joining Duke, Volfovsky was a National Science Foundation Mathematical Sciences Postdoctoral Fellow at Harvard University. He earned his Ph.D. in statistics from the University of Washington and his bachelor’s degree in mathematics and master’s degree in statistics from the University of Chicago.

• How to Experiment When You Don’t Yet Know What Matters

Angela Alexander is a lead of data strategy for Disney Advertising, specializing in data-driven and technology-led solutions to support the evolving advertising landscape. Over her 10+ year career at The Walt Disney Company, she has developed expertise at the intersection of analytics, audience strategy and engineering. Her work has included driving social media strategy for Disney Studios, designing audience engagement strategies for Parks and Resorts, and developing backend technologies for Parks Data Platforms. Her participation in CODE:ROSIE, Disney’s engineering development program, has shaped her technical growth and leadership path. Angela holds degrees in cognitive and linguistic sciences and data science.

• Disney Compass: Charting a New Course in Data Collaboration and Audience Insights

Ben Thompson leads data engineering at Cursor with over a decade of experience in data science, analytics engineering and data platform work. He specializes in building reliable data models and pipelines, warehouse performance, data quality and analytics tooling, and previously led analytics platform engineering as Senior Staff Data Engineer at Faire. Ben holds a Ph.D. in Astrophysics from Texas Christian University and a bachelor of art degree in Astrophysics from Ohio Wesleyan University.

• Move Faster with Agentic Data Workflows

Beth Albright has worked in animation since Space Jam (1996). She joined Pixar Animation Studios in 2009 as a character shading and groom artist, contributing to Toy Story 3 (2010), Brave (2012), Monsters University (2013), Finding Dory (2016), Coco (2017) and Incredibles 2 (2018). She became Pixar’s first female character supervisor on Luca (2021) and most recently served as the visual effects supervisor for Hoppers (2026). Albright blends technical expertise with artistic sensibility, leading cross-disciplinary teams to realize a director’s vision. She holds a bachelor of fine arts degree from the University of Notre Dame and a master of fine arts from The Ohio State University, and lives in Oakland, California.

• The Human Behind the Science: Judgment, Creativity and Perspective in Human-Centered Analytics

With 20 years of expertise across academic research, market insights and executive leadership, Bianca Pryor sits at the intersection of data, media & entertainment, and artificial intelligence/machine learning at NVIDIA. Their diverse career journey includes mastering advanced market research analytics at Kantar TNS, scaling businesses and coaching cross-coastal teams as an executive at System1 and spending five years brand-side at BET Media Group championing insights and Black culture. Bianca is passionate about blending deep analytics with cultural and media insights to drive impactful business strategies.

• The Private Artificial Intelligence Blueprint: Accelerating Enterprise Deployment with Cloudera, Dell and NVIDIA

Bill Rand is the Goodnight executive director of the Institute for Advanced Analytics at North Carolina State University, the oldest and boldest data science program in the world. A leading expert in artificial intelligence (AI), computer science and marketing analytics, Bill researches the fusion of machine learning, large language models (LLMs) and agent-based modeling to solve complex human and business problems. Discover more about this pioneering applied AI and data education program at analytics.ncsu.edu.

• The Future of Data Science Education in the Age of Generative AI

Bj Price leads Business Intelligence and Reporting for Disney Experiences Intelligence. Her 29-year career at Disney has included roles in entertainment, operations, engineering, finance, training and analytics. She is passionate about data visualization, analytical storytelling and responsible AI use. She studies AI-generated charts, dashboards and visual curiosities to better understand the line between insight and nonsense.

• The Society of Curious Analysts Presents: A Field Guide to AI Curiosities, Artifacts and Nonsense

Brandon Ramsey is director of engineering at ESPN, where he leads the Personalization & Recommendations organization responsible for powering personalized experiences across ESPN’s digital products. His teams build large-scale machine learning (ML) systems spanning content retrieval, ranking, recommendation engines, experimentation platforms, user understanding and real-time personalization for millions of sports fans.

Prior to ESPN, Brandon was vice president of personalization and social product development at Fox Sports, following Fox’s acquisition of Fanhood, a sports-focused social platform he founded and led as chief executive officer (CEO). Earlier in his career, he founded and co-founded multiple technology startups and held engineering leadership roles at Yahoo!, where he led teams across travel, shopping and commerce platforms.

Over the course of his career, Brandon has focused on building products and platforms at the intersection of artificial intelligence (AI), personalization, consumer experiences and large-scale distributed systems. He holds a bachelor's degree in computer science and engineering from Auburn University.

• From Heuristics to Modern ML: ESPN's Incremental Path to Intelligent Recommendations

As the daughter of educators, Celia was taught to never stop learning; she holds tight to that value even today. Before joining Disney, Celia earned her doctorate in human development and education, and she worked in education research for over ten years. Today, she uses this background in interdisciplinary social science in her role as senior research scientist at Walt Disney Imagineering. She applies both quantitative and qualitative data analytics to drive technological innovation. She is particularly interested in understanding how people — Disney cast members and guests alike — interact with the technology and environments in Disney Experiences’ parks, properties and products.

• The Human Behind the Science: Judgment, Creativity and Perspective in Human-Centered Analytics

Chad returns for his fourth Disney Data & Analytics Conference (DDAC) speaking appearance to tackle a critical challenge in data analytics: creating trust. As a leader at Disney with 15 years of experience, Chad leads a team of digital analysts supporting the Disney Signature Experiences portfolio of businesses. Known for his past DDAC sessions on data storytelling, curiosity and the impact of time, Chad's presentations blend academic rigor, real-world experience and a dash of nonsense to keep things interesting. He holds a doctorate in business administration from Rollins College, a master of business administration from Stetson University and a bachelor’s degree from the University of Tennessee.

• Everything I Know Is Wrong, Trust Me

Chris Szydlo’s team designs learning experiences about Disney’s approach to leadership, quality service, employee engagement and creativity in business, all with the goal of upskilling business professionals and organizations. With over 30 years of Disney experience in strategic and creative roles, Chris leverages his vast Disney network to transform business and leadership insights into powerful content that consistently receives extremely high positive participant ratings. Prior to Disney, he was a master model builder and general manager of the LEGO Imagination Center. Chris has a bachelor’s degree, specializing in education, from Rensselaer.

• Disney's Approach to Employee Engagement

David leads the product innovation team at Cloudera for Databases and Data Warehouses, with a focus on modern data architectures such as Data Mesh, Fabric and Lakehouses. David has over 30 years of experience in data management, data ecosystems, information architecture and enterprise architecture. David has a passion for helping businesses and people make data into transformative insights that lead to product and market acceleration and disruption. Before joining Cloudera, David worked for companies like Sybase, SAP and Hewlett Packard Enterprise.

• The Private Artificial Intelligence Blueprint: Accelerating Enterprise Deployment with Cloudera, Dell and NVIDIA

Emily Kubicek leads data science strategy within the Data & Measurement Sciences organization, overseeing multiple teams focused on advancing the Disney Compass platform. Before her seven years at The Walt Disney Company, Emily earned her Ph.D. in cognitive neuroscience from Gallaudet University where she studied the behavioral and neural correlates of diverse audiences. Emily brings her previous lab leadership skills and creative scientific approaches to deliver unparalleled service and technical innovation to Disney Advertising’s internal and external stakeholders.

• Disney Compass: Charting a New Course in Data Collaboration and Audience Insights

Gary works with teams and customers worldwide to shape IBM’s data strategy and make hybrid cloud and artificial intelligence (AI) solutions practical and impactful. His role is about turning data into real business value, whether that means leveraging what you already have or building new capabilities where they matter most.

As an IBM Distinguished Engineer Alumnus, he is passionate about making data simple, accessible and interesting. He takes a prescriptive, pragmatic approach to help organizations unlock the power of their data and drive meaningful outcomes.

• Game, Set, Data: The Architecture Behind Real-Time Insights at the U.S. Open

Jaclyn Mathai is a senior manager of data science at The Walt Disney Company, where she leads teams building AI-driven products at the intersection of analytics, storytelling and human-centered design. A University of California Berkeley cognitive science alumni and Poets & Quants 2026 Best & Brightest, Jaclyn has spent a decade turning complex data into tools people love to use — from machine learning forecasting platforms to a generative AI content intelligence application. She is a martial arts gold medalist, farmer’s daughter, avid painter and passionate advocate for making STEM more creative and accessible.

• The Human Behind the Science: Judgment, Creativity and Perspective in Human-Centered Analytics

Jacob Benoit is a senior manager of software engineering at Disney Experiences Technology, where he leads guest-facing search and answer technology across Parks websites and mobile apps. With more than 20 years of experience in technology leadership, Jacob brings a practitioner’s perspective to the challenges of building and evaluating AI-driven systems at scale. His current work sits at the intersection of large language models, retrieval-augmented generation and the high standards of quality and brand trust that define the Disney guest experience.

• Large Language Model Evaluation and Guardrails: Building Trustworthy Artificial Intelligence Systems

Jacob Lammott is a principal software engineer at Disney, where he has spent the last four years contributing to initiatives across both Hulu and Disney+ streaming platforms. He focuses mainly on designing high-throughput data pipelines, recently powering emerging experiences like new vertical content surfaces and automated carousel generation. His work aims to ensure users consistently see the most relevant content when they browse Disney's apps.

• From Catalog to Conversation: The Magic Behind AI Discovery on Disney+

Jeff Camm is a professor and the Inmar presidential chair in analytics in the Wake Forest University School of Business. A firm believer in practicing what he preaches, he has consulted for numerous corporations and government agencies. Known for his pragmatic views on optimization and decision intelligence, he has spoken at conferences, universities and industry events, including presentations at Procter & Gamble, Kroger, Duke Energy, GE and Amazon.

• Decision Intelligence: Model the Decision, Not Just the Data

John Lopus is an applied artificial intelligence architect on the strategic accounts team at Anthropic, where he works with a handful of the company's largest and most strategic enterprise customers. He helps their engineering and data organizations take agentic systems from first pilot to governed production at scale. His current work centers on managed agents and the operating patterns enterprises need to run them safely. Before Anthropic, John spent more than a decade leading solutions engineering teams across the enterprise data and marketing technology space.

• The Arc Toward Managed Agents: Running Artificial Intelligence Agents as Infrastructure

Julie Holt Bentham loves to blend the magic of storytelling with the magic of data. Currently, she is the Senior Manager of Data and Insights for Disney Publishing, combining her two favorite things in the world: data and books. Her love for data started in the nonprofit space where she studied nonprofit management with a focus on donor analytics during her collegiate career. After graduating with her undergraduate degree, Julie had the privilege of working in several data focused roles across Disney including audience insights and customer engagement analytics. She also has her master of business administration from Crummer Graduate School of Business at Rollins College.

• The Human Behind the Science: Judgment, Creativity and Perspective in Human-Centered Analytics

Katerina Iliakopoulou-Zanos is a principal machine learning (ML) engineer at ESPN, leading recommendation systems for the ESPN app. She has built and deployed recommender and personalization systems across large-scale consumer products, with a focus on practical experimentation, scalable ranking and responsible optimization. Previously, she worked on recommender systems at Meta and The New York Times. Her work sits at the intersection of machine learning, product strategy and the real-world constraints of shipping systems that millions of people use every day. She holds a bachelor's degree in electrical and computer engineering from the Aristotle University of Thessaloniki and a dual master's degree in computer science and journalism from Columbia University.

• From Heuristics to Modern ML: ESPN's Incremental Path to Intelligent Recommendations

As a conservation and science technician with Disney’s Animals, Science and Environment, Kristen leverages her background in biology and data science to drive conservation efforts across Disney Experiences. Her work bridges field research, data strategy and storytelling, from protecting sea turtle populations at Disney’s Vero Beach Resort to creating data systems that improve conservation practices. Passionate about translating science into impact, Kristen ensures data drives conservation strategies that support Disney’s mission to protect wildlife and wild places.

• I'm Not a Data Scientist...Right? A Field Guide for 'Unofficial' Data Professionals

Kyle Lindsey is an executive Artificial Intelligence (AI) innovation advisor at World Wide Technology (WWT), focused on media, entertainment, gaming and sports. He works at the intersection of spatial intelligence, digital twins, computer vision and the NVIDIA ecosystem, helping clients move ideas from concept to pilot to production. Kyle led WWT's Energizer Park digital twin work and has spoken at DDAC, Unreal Fest and SIGGRAPH on digital twins, digital humans and experiential AI.

• The Architecture of an Intelligent Venue

Max Benton has spent nearly a decade at Disney leading teams that build artificial intelligence, machine learning and analytics products used to drive decision-making across The Walt Disney Company, from streaming to global theme parks and experiences. Before Disney, he developed Australian basketball analytics and consulted for Fortune 100 companies. Max is a data visualization upskilling instructor for the Disney Data & Analytics Academy. He holds a bachelor's degree from the University of Central Florida and a Master of Science in Quantitative Management from Duke University.

• The Christmas Movie Playbook for Green-Lighting Analytical Projects

Michelle is responsible for the strategy and development of artificial intelligence (AI) & Data solutions across the Olympic and Paralympic Movement – helping transform the games with a goal of making them more scalable and accessible for fans, volunteers, employees, media rights holders and sponsors. Michelle partners with sponsors to drive value by convening the ecosystem through data collaboration and the development of integrated solutions. She also works with National Organizing Committees (NOCs), International Federations of Sport (IFs) and future Organizing Committees (OCOGs) to leverage AI to transform the future of sports and the next generation of athlete performance, revenue generation and fan engagement.

• How Deloitte Brings Magic to the Olympic and Paralympic Games

Nathan Quinn is a director of engineering at Disney, where he leads the Discovery Experiences organization behind Disney+ and Hulu. A five-year Disney veteran, he and his teams drive personalized, artificial intelligence (AI)-powered experiences at scale, shaping what viewers see across Disney's streaming apps and how they can discover their next favorite title.

• From Catalog to Conversation: The Magic Behind AI Discovery on Disney+

Paul Parkinson is an architect and eeveloper advocate at Oracle Artificial Intelligence (AI) Database, where he has worked for the last 25 years. His focus is on agentic AI, multicloud, transaction processing, observability, cloud-native architecture, security, spatial and polyglot data models. Paul is a frequent speaker, blogger, workshop author and builder of interactive activations. He holds 25 patents.

• Memories are the Magic: Building AI that Remembers

Peter Manta is an artificial intelligence (AI) and data strategy leader with 25+ years in data management, analytics and technology. As AI Practice Director at Informatica from Salesforce, he bridges data architecture and AI deployment to help organizations build foundations for trustworthy, decision-grade AI. With a master's in applied mathematics from Cornell, Peter brings quantitative rigor to the practical challenges of AI adoption. His current work challenges conventional data quality frameworks, arguing that in agentic systems the only measure that matters is impact on decision quality, and he is developing the quantitative methods to prove it.

• The Agentic Data Contract: Redefining Data Readiness for Autonomous Decision-Making

Rachel Chung, Associate Teaching Professor, Heinz College of Information Systems & Public Policy, Carnegie Mellon University, is an expert in teaching and explaining AI. Chung has mastered her craft by publishing AI the Magic Box to explain how neural networks work to middle schoolers, the college-level textbook AI for Business, and giving a TEDx Talk based on her children's book. Chung's research explores the intersections of digital institutions, occupational fraud and AI. Chung holds dual Ph.D. degrees in Management Information Systems and Psychology from the University of Pittsburgh and has received numerous honors including an IBM Faculty Award and four teaching awards from William & Mary.

• Attention in Excel

Rebecca Godsil facilitates professional development courses as well as keynotes and workshops at Walt Disney World® Resort and Disneyland® Resort. With over two decades of Disney experience across operations, sales and human resources, she brings a strong passion for employee engagement and recognition. Rebecca previously led enterprise‑wide programs, like The Walt Disney Legacy Award and Cast Service Celebrations, and served as a Walt Disney World Resort Ambassador. She holds a bachelor’s degree in organizational communications and business administration from Pepperdine University.

• Disney's Approach to Employee Engagement

As a conservation programs manager with Disney’s Animals, Science and Environment, Rebekah is dedicated to finding innovative solutions to advance coral reef restoration in The Bahamas. Her commitment has centered on deploying emerging technologies to optimize data collection, ensuring that conservation decisions are grounded in robust, actionable insights. By integrating analytics and real-time data strategies into her environmental work, Rebekah aims to bridge the gap between technology and environmental preservation efforts for the betterment of our ecosystems.

• I'm Not a Data Scientist...Right? A Field Guide for 'Unofficial' Data Professionals

Rick Houlihan is Field CTO at Oracle and an influential data architect of the NoSQL era. At Amazon, he invented DynamoDB Single-Table Design and led the largest relational-to-NoSQL migration in history — 3,000 RDBMS instances, 75 petabytes, zero Tier-1 issues — training 25,000 developers along the way. His AWS re:Invent sessions are some of the most-watched database talks in the conference's history. After building MongoDB's successful developer enablement program, he joined Oracle, where he has helped define Unified Model Theory, the framework unifying relational and document models. His thirty-year career spans enterprise data architecture from mainframe to cloud-native solutions. Rick has shipped production data architectures at enterprise scale on DynamoDB, MongoDB, and Oracle — and authored 9 patents in diverse areas including ML/CEP, cloud virtualization, microprocessor design, and NoSQL.

• Memories are the Magic: Building AI that Remembers

Shayde Christian is the Chief Data and Analytics Officer at Cloudera where he leads data-driven cultural transformation to help organizations realize maximum value from data and artificial intelligence. Shayde works with customers to optimize their Cloudera investments and build high-value use cases that deliver measurable business impact. Before joining Cloudera, Shayde served as Head of Data and Analytics for a Fortune 200 Healthcare company. Prior, he was a principal consultant advising Fortune 500 companies on data strategy and enterprise information management.

• The Private Artificial Intelligence Blueprint: Accelerating Enterprise Deployment with Cloudera, Dell and NVIDIA

Tae Hong Min is an artificial intelligence (AI)/machine learning (ML) engineering manager at Disney Experiences Technology, where he leads AI/ML operations for the Disney Experiences Technology AI Center of Excellence (COE) covering AI evaluations, hallucination detection, accuracy, guardrails, AI safety and large language model red teaming. Tae works closely with product and core engineering teams and cross-functionally with corporate security, quality assurance, performance engineering, infrastructure and application stakeholders across the platform. His work sits at the intersection of engineering rigor and responsible AI delivery.

• Large Language Model Evaluation and Guardrails: Building Trustworthy Artificial Intelligence Systems

Tara Steuber is a strategic leader with 14 years at The Walt Disney Company, leading the development and evolution of human- and AI-driven decision products. With a foundation in mathematics and software engineering, she has led the design, delivery and sustainment of innovative decision support tools for global clients across the enterprise. She focuses on advancing engineering maturity for data scientists by translating complex business needs into robust, production-grade solutions that balance rapid delivery with quality, governance and risk mitigation. She has a special interest in shaping AI strategies that help science developers increase productivity and deliver higher-quality products.

• Level Up Your Coding: Productization in the World of Artificial Intelligence

Vasudha Khare is a product manager at Confluent, where she’s building the Real-Time Context Engine — infrastructure that lets Artificial Intelligence (AI) agents query fresh data directly from live streams at low latency. Before Confluent, she spent nearly a decade building AI and Machine Learning products at Microsoft, Intuit and Vanguard, including real-time systems for analyzing live customer conversations. She holds an MBA from Kellogg School of Management and has spoken about AI at conferences like Current London, Microsoft Ready and the Women in AI Summit.

• Your Model is Fine, Your Context Might Be Broken

Achille Ettorre is a strategist, speaker and author helping organizations bridge the gap between AI theory and real-world transformation. As the author of The Digital Advantage, he equips leaders with a field-tested approach to aligning culture, data and technology to drive sustainable results. Achille brings a rare blend of boardroom strategy and frontline execution, shaped by his work with Fortune 500 brands like Loblaw, national AI advisory boards and entrepreneurial ventures like GTA Equipment Rentals. He currently serves on the Board of Advisors for the Smith School of Business and the National AI Business & Industry Leadership Team (BILT), where he helps shape the future of AI education, workforce development and responsible innovation.

Presented Magic Happens: Culture, Clarity and Community from The Digital Advantage

Andrew Wright, a Walt Disney Imagineering Research & Development principal, develops advanced technologies to improve the work of fellow Imagineers and Cast Members. With 19 years at Disney, he has contributed to diverse analytic and emerging technology teams. Prior to Disney, Andrew worked in financial services and consulting. He holds a degree in foreign affairs and graduate degrees in business and applied statistics. Andrew lives in Southern California with his wife and their retired rescue greyhound.

Presented Beyond the Local Maximum: Overcoming Imposter Syndrome in Data Science

Brian Walters, Professional Engineer, is senior manager of the Modeling, Simulation, and Training Tools (MST) team within Global Engineering and Technology (GE&T) at Disney Experiences. The MST team develops simulation, training, data acquisition and analytics tools for Disney Parks worldwide. Brian graduated from the University of Central Florida with a Bachelor of Science in electrical engineering and a Master of Science in engineering management.

Presented Simulation for Disney Parks and Experiences

During her tenure with Disney, Cara Dienes has delivered pricing, inventory control and forecasting capabilities to businesses across the enterprise. These solutions empower decision-makers with techniques from statistics, optimization, simulation and machine learning into applications. Beyond delivering solutions, Cara seeks to empower team members and develop analytics leaders of the future. Prior to joining Disney, she worked in systems engineering in the defense industry. She holds a doctorate in industrial engineering from Iowa State and is currently Vice President, Decision Science Application Development, Sustainment & Operations.

Presented Human Intelligence: Leading with Wisdom in an Algorithm-Driven World

Chris Szydlo’s team designs shelf and customized learning experiences about Disney’s approach to uplevel business professionals and organizations. With over 30 years of Disney experience in strategic and creative roles, Chris leverages his vast Disney network to transform business and leadership insights into powerful content that consistently receives extremely high positive participant ratings. Prior to Disney, he was a master model builder and GM of the LEGO Imagination Center. Chris has a bachelor’s degree, specializing in education, from Rensselaer.

Presented Five Ways to Balance People and Business, Disney Style

Christopher Fults facilitates professional development courses for individuals and learning events for groups. He has held roles at Disney Imagination Campus, operations leadership in transportation and training content development manager at National Geographic, where he collaborated with explorers to amplify their grant work. Before Disney, Christopher taught English in Tennessee and earned his master’s degree in curriculum and instruction and bachelor’s degree in multidisciplinary education. He is pursuing his doctorate in organizational leadership and learning at Vanderbilt University.

Presented Five Ways to Balance People and Business, Disney Style

Frederick Zahrn is a director of decision science transformation within Disney Decision Science & Integration (DDSI). He leads a team producing prototypes and pilots in support of business decision making across the company in technical domains including optimization, causal inference, simulation, machine learning, statistics and decision analysis. Prior to starting his Disney career in 2010, Fred completed his Master of Science in operations research and doctorate in industrial engineering from Georgia Tech.

Presented Simulation for Disney Parks and Experiences

Haley is a senior resorts revenue management analyst with a passion for Disney, analytics and solving complex problems. Known for asking thoughtful questions and uncovering actionable insights, she brings analytical expertise, hospitality experiences and creative thinking to her work. Her curiosity and love for learning drive continuous improvement and meaningful results.

Presented To Saving the Planet and Beyond

Jeff Hollan is Director of Product at Snowflake for Cortex AI Agents and Apps. His team is focused on how agents and AI can be built with secure and instant access to enterprise data at scale. He has also led the teams around Python and Snowpark. Previous to Snowflake, Jeff was Director of Product at Microsoft Azure running the cloud web app and serverless organization. Jeff is always tinkering and building and loves to demo exciting technology and work with the community on how technology can unlock new value for every organization.

Presented Beyond the Dashboard: Making Agentic AI Real for Enterprise Data

Joe Duane leads business operations tools for Disney Entertainment & ESPN Product & Technology, overseeing efforts unifying internal tools into a connected suite of services and data. He has worked as a software engineer, consultant and product manager, and focuses on using advanced technologies and tools to enhance human insight. Before joining Disney, he led product management for Oracle’s Marketing Cloud, helping streamline and centralize the creation of multi-channel marketing campaigns.

Presented Silos to Synergy: Unifying Data and Analytics for Operational Excellence

Justin Hoffman is a business integration manager with consumer insights and market analytics (CIMA), where he works in survey methodology, data management and transformation projects. Prior to Disney, Justin worked in marketing roles in Sydney, Australia and Seoul, Korea. Once in Orlando, he served as a product analyst in the gas and power industry, then in project management for pharmaceutical research. He holds a Bachelor of Arts from The Ohio State University and a Master of Business Administration from Florida Gulf Coast University.

Presented Andy's Toy Box: Sketching Out Research Methodology

Justin T. Huang is a researcher, marketer and economist at University of Michigan Ross School of Business. For over a decade, he has studied how digital platforms motivate creative content production and enable small businesses, with research published in top journals including Nature: Human Behaviour, Marketing Science and Information & Management. At Ross School of Business, he teaches courses on marketing strategy and new product innovation management and advises firms on marketing attribution, AI strategy & implementation and data analytics. Justin holds a PhD in quantitative marketing from Stanford Graduate School of Business and degrees in mathematics and economics from the University of Maryland.

Presented The Generative Internet: How AI Is Rewriting Search, Content and Advertising

Kevin is currently Head of Sport Partnerships EMEA, as well as IBM Partnership Executive to the AELTC and IBM Client Experience Executive for Scuderia Ferrari. He is responsible for ensuring that IBM’s investment in our EMEA sponsorship properties is maximized, supporting our clients’ business objectives through IBM’s Consulting and Technology capabilities to enhance the value of the client case study from which we create compelling marketing stories.

Kevin has a proven track record of building and demonstrating his client and industry understanding and he is seen as a trusted advisor on technology innovation adoption in the sports industry.

Presented Lights, Camera, Analytics: How Data and AI are Driving the Future of Business

Kevin Masick began his Disney career in August 2021 as a research systems manager in Consumer Insights and Market Analytics (CIMA). Prior to joining Disney, he spent 16+ years as a health care leader driving analytic innovation, research education and storytelling with data and an adjunct professor teaching research methodology and statistics. Kevin has co-authored three textbooks and published 25+ peer-reviewed journal articles. He holds a doctorate in applied organizational psychology from Hofstra University.

Presented Andy's Toy Box: Sketching Out Research Methodology

Kiran Pendyala is a senior business analyst for Disney Entertainment’s direct-to-consumer business, including Disney+ and Hulu. With a passion for storytelling through data, he focuses on analyzing content performance and uncovering valuable insights into subscriber preferences that can inform strategy and investments. Prior to Disney, he held positions in consumer research and insights at Warner Bros. Discovery and Sony Pictures. He holds a bachelor's degree in mathematics and statistics from Arizona State University. Outside of work, Kiran combines his love for music and service by supporting nonprofit youth programs that use art therapy to empower underprivileged communities.

Presented Bubbling Up Insights Without Boiling the Ocean: Framing Data for General Audiences

Kristen is a conservation and science technician with the Disney Conservation team where she leverages her background in biology and data science to drive impactful conservation efforts across Disney’s parks, resorts, and experiences. Her work bridges field research, data strategy, and storytelling to support Disney’s long-term biodiversity goals, from protecting sea turtle populations at Disney’s Vero Beach Resort to creating data systems that improve conservation practices. Passionate about translating science into impact, Kristen ensures that data is a key driver in shaping conservation strategies that support Disney’s mission to protect wildlife and wild places.

Presented To Saving the Planet and Beyond

As senior manager of business insights and analytics at National Geographic, Lauren Boyer drives data-based decision-making for the organization's subscription business, including editorial efforts. Lauren joined National Geographic in 2017, initially spearheading social media intelligence. As a former newspaper reporter, she's passionate about how data-driven approaches can bolster newsrooms' resilience and sustainability. Lauren holds a degree in journalism from Penn State University, where she is an adjunct instructor and curriculum contributor for the communications college.

Presented From Uncharted Waters to Actionable Charts: Navigating Data with a Reporter's Mindset

Lauren is a conservation biologist with a passion for the intersection of technology and the natural world. Throughout her career, she has always gravitated toward technology-based solutions to solve complex environmental challenges. In her role as a conservation and science technician, she drives the Disney Conservation team’s efforts in animal movement ecology, leveraging innovative, rapidly changing technology to better understand and protect wildlife. Known for her collaborative approach, Lauren blends scientific insight with cutting-edge technology to advance conservation through innovation.

Presented To Saving the Planet and Beyond

Maham’s passion for clean energy and astrophysics started at a very young age. Growing up, she dedicated her education and career towards sustainability and climate change. Data science and analytics has played a crucial role in her time at The Walt Disney Company as a senior manager for renewable energy & emissions where she has developed a dynamic energy and emissions forecasting model for the global portfolio of the company and leveraged it to inform strategy to achieve the company’s 2030 Environmental Goals. Outside of her role at the company Maham advocates for inclusion of women in STEM fields across the world and loves to hike in nature.

Presented To Saving the Planet and Beyond

Mark is a passionate product marketer with a technical and solution consulting background and more than 20 years of experience in enterprise and open-source technology. He has launched several database and analytic solutions throughout his career and has worked with customers across a wide variety of industries, including financial services, automotive, gaming, hospitality, high tech and healthcare. With expertise in analytics and AI, Mark loves all things data and is an emphatic supporter of data-for-good initiatives.

Presented Why Your Database Matters More Than Ever in an AI World

As Director of Decision Science Transformation at Disney, McKay Curtis leads the development of analytical methods and tools that enhance decision-making across the enterprise. Over his 14 years with Disney, his solutions have benefited diverse businesses including Disney Cruise Line, The Walt Disney Studios, Disney Parks, ESPN, ABC and Disney Theatrical Group. McKay’s expertise in causal inference, Bayesian statistics, machine learning and experimental design provides the foundation for analytical solutions in marketing, revenue management and finance. He earned his doctorate in statistics from North Carolina State University. Prior to Disney, McKay was a postdoctoral research associate at the University of Washington, where he contributed to developing statistical methods for analyzing Alzheimer’s disease data.

Presented The Missing Lecture: What Stats Courses Forgot to Tell You

Melissa Hadley is the Southeast regional strategy leader for AI productivity. She helps innovators with assessing AI value, driving outcome-oriented technology strategy and leveraging AI agents to optimize businesses. Her IBM career started in Chicago where she specialized in the financial services industry and how to modernize middleware and integration in that space. She pivoted to intelligent automation, content management, decision management and robotic process automation in the insurance and public sectors. Now, she advises organizations on leveraging agentic AI in a transparent, safe and return-on-investment-driven way. Melissa lives in Charlotte, North Carolina, is passionate about diversity inclusion and sits on the board of several employee resource groups at IBM. She's a pilates fanatic, amateur chef, loves to travel and recently ran her third marathon in April of 2025 - The London Marathon!

Presented Lights, Camera, Analytics: How Data and AI are Driving the Future of Business

Moritz Bächer is the associate lab director of Disney’s Zurich-based robotics team, where he leads a strategic program focusing on the development of novel model- and learning-based tools for the design and control of believable robotic characters. His core expertise is the optimal design and control of both soft and rigid systems, using a combination of differentiable simulation and reinforcement learning. Prior to joining Disney, Moritz received his doctorate from the Harvard School of Engineering and Applied Sciences and his master’s degree from ETH Zurich.

Presented Insights into Disney's Robotic Character Platform

Paige Berry is a data science manager for the commercial strategy organization at Walt Disney World Resort. Her team leverages data, domain knowledge and connected intelligence to inform revenue-driving strategies. During her 12 years with the company, she previously supported merchandise revenue forecasting and helped bring date-based ticket pricing to market. She has a bachelor’s degree in economics and a master’s degree in business analytics, both from the University of Central Florida.

Presented Pop Hits and Power Moves: Career Lessons from Pop Music

Peter is a solutions engineer who enjoys solving hard problems in the data and analytics space. With over 40 years experience in tech, he works with companies in media, hospitality, gaming and beyond. His favorite part of the job is collaborating with brilliant colleagues and the best technology to make his customers' lives better. Outside of work, you'll find him cooking, spending time with his wife and family or swimming in the Santa Monica Bay.

Presented Why Your Database Matters More Than Ever in an AI World

As a passionate marketer, Sara Shapiro is focused on continually improving the ‘art’ of marketing through the ‘science’ of analysis, by providing strategic insights around performance and digging deep into the conversion funnel to uncover optimization opportunities. She is currently the manager of growth strategy for subscription services at National Geographic and holds a Bachelor of Arts in advertising from the University of South Carolina.

Presented From Uncharted Waters to Actionable Charts: Navigating Data with a Reporter's Mindset

Sierra Duncan is a senior manager of business intelligence for Disney Entertainment’s direct-to-consumer business, including Disney+ and Hulu. Sierra’s work is focused on executive reporting and business insights, where she is constantly searching for ways to connect dots for insights to inform the big picture of business performance and strategy. Coming from a theatre background and currently pursuing a Master of Business Administration from New York University Stern School of Business, Sierra thrives on connecting conventional and unconventional viewpoints to tell the most complete and engaging story.

Presented Bubbling Up Insights Without Boiling the Ocean: Framing Data for General Audiences

Teresa Causin is a Director, Technical Program Management, leading data tooling, workforce systems, and operational governance across internal and out of the box platforms. She oversees the Talent Track program and aids in resource planning and reporting across Disney Entertainment & ESPN Product & Technology . With deep experience in infrastructure and program delivery, Teresa fosters innovation, cross-functional alignment, and operational excellence. Based in Seattle, she is passionate about technology and creating exceptional, scalable solutions in complex, dynamic environments.

Presented Silos to Synergy: Unifying Data and Analytics for Operational Excellence

Tong Wang is an Assistant Professor of Marketing at the Yale School of Management. She received her Ph.D. in Computer Science from the Massachusetts Institute of Technology. Her research lies at the intersection of machine learning and business, where she develops novel, interpretable algorithms tailored to solving real-world business problems. Tong has published in top-tier outlets across both machine learning and business disciplines. She has also consulted for leading firms on applying machine learning to real-world business challenges.

Presented Augmenting Experiments with LLM Knowledge: Robust Fine-Tuning for Content Marketing

Traci is an experienced executive with deep experience in leading programs focused on artificial intelligence, advanced analytics and emerging technologies. She is responsible for leading data and analytics teams in the Americas across the Consulting division; focused on building innovative approaches and platforms to enable digital transformation journeys. Traci partners with leaders and executives across industries to build sustainable data, analytics and artificial intelligence capabilities, focusing on moving beyond experimentation and prototyping.

Presented The Four Futures of AI