Professor Li is actively immersing herself in recent developments in AI, eager to integrate its advancements into her research and share new insights with her students. She is deeply invested in understanding its underlying mechanisms and customizing AI solutions for businesses of all sizes. Her research focuses on the consumer purchase journey, tackling challenges such as the curse of dimensionality, fragmented data, and adapting to a cookie-free environment. Additionally, her work includes initiating the consumer journey through acquisition strategies like sampling, free trials, and freemium models, as well as guiding firms through disruptions and radical innovations in the consumer landscape. She collaborates across industries, including hospitality, software, banking, and publishing.
Henry Innis is the Co-Founder and Global CEO of Mutinex, an AI-powered marketing analytics platform that has become the new standard in marketing mix modeling (MMM), transforming how enterprise brands measure and optimize their investments. With a background in marketing strategy and software engineering, Henry leads the Mutinex product vision and is obsessed with “what’s next” for driving confident marketers and measurement. Henry has earned numerous entrepreneurship and business awards and is known for his candid leadership, relentless focus on innovation, clarity and impact. Since founding Mutinex in 2019, Henry has established the company as the trusted measurement partner for over 90 global brands. In his own words, “I build products that grow businesses - it's that simple.”
Jia Li is the John B. McKinnon Professor and an Associate Professor of Marketing at the Wake Forest University School of Business. His research leverages large-scale data to analyze marketing problems that also have strong relevance in other areas including economics, information systems, and operations management. Li’s work has been published in leading academic journals such as Marketing Science, Management Science, Journal of Marketing, Production and Operations Management, and Journal of Retailing.
Marco is the founder of Kwantumlabs.ai. Author/editor of 4 books: The Business of Marketing Research (2020), From Data to Decision: Handbook for the modern business analyst (2018), The Insights Advantage: knowing how to win (2012), and Handbook of Marketing Research (Sage, 2006). He has published in many academic and industry journals on conjoint, branding, and analytics. He can be reached at marco.vriens@kwantumlabs.ai.
Audrey holds a PhD at the intersection of Causal Inference and Machine Learning from Paris Saclay University. She is now Research Lead in Causal AI at Ekimetrics, a company that helps leading businesses worldwide make more informed decisions and turn them into a sustainable advantage through data and AI technologies. There, she leads an R&D team and supports client projects requiring specialized expertise in causal inference. Her research aims to improve decision-support tools through causal reasoning in statistical analysis, with a particular focus on robustness and uncertainty.
Manish Hira is a Data Analysis Manager at Capital One and a Ph.D. Candidate in Systems Modeling and Analysis at Virginia Commonwealth University, Richmond VA. He leads marketing analytics for Capital One's brand organization, overseeing analytics for a multimillion-dollar media portfolio and developing AI-integrated analytics strategies. With over 20 years of experience across Capital One, Samsung Electronics, and Wipro Technologies, Manish has built predictive models, founded an IP innovation program generating patents, and delivered engineering projects for global clients including Qualcomm, Nokia, and Toshiba. He holds graduate degrees from the University of Washington and the University of Notre Dame. Manish is an IEEE Senior Member and a named inventor on two U.S. patents. His current research focuses on Explainable/Interpretable AI methodologies and AI-mediated marketing measurement frameworks with human in the loop governance.
Adriana Rocha is a technology entrepreneur and applied AI researcher with over 25 years of experience at the intersection of human intelligence and computational systems. She is the founder of Wisdom Beyond Technology, LLC, and Wortya, and the author of Refactoring the Firm: Building Intelligence-Native Organizations for the AI Age.
Peter Danaher is Professor of Marketing and Econometrics at Monash University in Australia. He is formerly a Co-Editor for the Journal of Marketing Research. His primary research interests are media exposure distributions, advertising effectiveness, television audience measurement and behavior, internet usage behavior, customer satisfaction measurement, forecasting and sample surveys.
Dr. Jeffrey Dotson is an Associate Professor of Marketing in the Fisher College of Business at The Ohio State University and Fellow of the OSU Center for Software Innovation where he teaches courses in Marketing Research, Product Marketing, and Technology Innovation. His research focuses on the development and application of Bayesian statistical methods to a variety of theoretical and applied marketing and management problems. He received his PhD in Quantitative Marketing from the Fisher College of Business at Ohio State University and holds an MS in Statistics and an MBA from the University of Utah. He received his undergraduate degree in Economics at Southern Utah University. Prior to joining OSU, he was a member of the faculty in the Marriott School of Business at Brigham Young University and in the Owen Graduate School of Management at Vanderbilt University. He has extensive professional experience conducting research and consulting projects with many companies including General Mills, General Motors, Google, Microsoft, Qualtrics, Traeger Grills, Marriott, Nissan, and The Gap.
Dr. Luiz Guilherme Duarte is a Strategic Consumer Insights Leader with over 15 years of experience driving audience intelligence and marketing strategy for global entertainment, media, and streaming giants. He has authored several books on media and consumer behavior and received awards for the creation of innovative audience tracking services in the U.S.
Qiwei Han is an Assistant Professor of Business Analytics at Nova School of Business and Economics, Portugal. His research examines how artificial intelligence and digital platforms reshape consumer behavior, online markets, and business decision-making. His recent work focuses on generative AI, search and recommendation systems, e-commerce analytics, and responsible AI, combining large-scale observational data, causal inference, and machine learning methods. He has collaborated with industry partners on projects involving digital commerce and healthcare analytics. Qiwei received his Ph.D. and M.S. in Engineering and Public Policy and his M.S. in Information Networking from Carnegie Mellon University.
Shane is a Professor of Marketing at the Pamplin College of Business, Virginia Tech. His research explores how emerging technologies reshape business strategy and consumer behavior. Currently, his work and teaching focus on AI agents and synthetic data, with an emphasis on their strategic impact on businesses and consumer markets. He serves as Senior Editor, Associate Editor, and Editorial Review Board member for several leading academic journals. He has been consistently recognized as one of the World Top 50 Most Productive Marketing Scholars based on publications in premier marketing journals. He was recognized as an MSI Young Scholar in 2021 and an MSI Scholar in 2024.
Rogier is the co-founder of KwantumLabs.ai. An innovate market research company focused on leveraging AI to drive better results with market research with a special focus on branding and conjoint for product/pricing trade-offs. He has held various leadership roles across sales, product, customer support and marketing for over 20 years and as such deeply understands how these functions operate. He is a practitioner of market research and data analytics and the combination of these experiences with business experiences allows him to look for practical market research applications that translate to measurable business impact. He has worked for a variety of companies on the vendor and client side, consulting companies and internal stakeholders on how to leverage quant and qual approaches to solve a wide variety of business problems. Rogier has extensive experience in customer experience measurement, brand, product and advertising research, and combining the best of primary research, AI and data sciences. For the last 7 years, he has led market research for LinkedIn, overseeing all the tracking programs and ad hoc custom research including the research operations that powers LinkedIn’s survey research platform. He is also currently applying AI to generate synthetic responses to make better brand strategy decisions and pioneering new ways to measure customer value of features and products using novel decision trade-off exercises.
Leabe a Senior Vice President of Strategic Growth at Ipsos, where she partners with Fortune 500 organizations to solve complex business challenges through consumer insights, innovation, brand strategy, and AI-enabled research solutions. With more than 25 years of experience in market research and business development, she helps clients identify growth opportunities, connect them with the right expertise, and design research programs that drive confident business decisions. Known for her consultative approach, Leabe builds lasting client relationships by translating business objectives into actionable insight strategies. She works across industries and methodologies, bringing together Ipsos' global capabilities to help organizations innovate, strengthen their brands, optimize customer experiences, and accelerate growth. Passionate about helping clients navigate an increasingly complex marketplace, Leabe believes the best research doesn't just answer questions—it inspires better decisions.
Imran Ahmed is a Head of Measurement within Google’s Tech & Lifestyle Services (TLS) organization. His role is to help his customers make more informed, data-driven decisions, leveraging data and analytics. Prior to his role at Google, Imran held Senior Analytics positions across Omnicom Media Group agencies, leading data science teams and data-driven client engagements.
Harini Devulapalli – Senior Manager, Chewy Harini is a Senior Manager, Analytics and Data Science at Chewy, where she develops AI-enabled analytics solutions that improve decision-making across large-scale supply chain operations. Her work focuses on applying large language models (LLMs), Retrieval-Augmented Generation (RAG), predictive analytics, and scalable data engineering to solve complex business problems. She has led the development of enterprise AI assistants that enable natural language access to analytics while improving data reliability, governance, and operational efficiency. Her research interests include AI for structured data, semantic retrieval, forecasting, and enterprise knowledge systems. Harini is passionate about bridging academic research and practical industry applications, helping organizations build trustworthy, scalable AI solutions for data-driven decision-making.
Dr. Adithya (Adi) Pattabhiramaiah is the Sharon A. and David B. Pearce Associate Professor of Marketing and Faculty Director of the Center for AI in Business at the Scheller College of Business, Georgia Institute of Technology. His research examines how emerging technologies, particularly artificial intelligence, reshape markets, consumer behavior, and business strategy, with additional work spanning media monetization, education, sustainability, and public policy. His research has been published or is forthcoming in Marketing Science, Management Science, Journal of Marketing, Journal of Marketing Research, MIS Quarterly, Harvard Business Review, Marketing Letters, and other leading outlets. Dr. Pattabhiramaiah teaches courses on marketing analytics, pricing strategy, and AI and machine learning applications in business research. He is an MSI Scholar and serves as Associate Editor for both the Journal of Marketing and the Journal of Marketing Research. His research has received numerous honors, including the MSI Alden G. Clayton Dissertation Competition Award, multiple AMA and MSI award recognitions, and finalist honors for the Paul E. Green/Vithala R. Rao, Weitz-Winer-O’Dell, Shelby D. Hunt/Harold H. Maynard, and H. Paul Root Awards.
Khaled Boughanmi is an Assistant Professor of Marketing at Cornell University’s Johnson Graduate School of Management. His research combines computational consumer modeling and machine learning to understand how consumers evaluate complex, experience-based products. He develops quantitative methods for analyzing high-dimensional data and improving data-driven decisions. He holds an engineering degree from ENSAE Paris and an M.Sc. and Ph.D. from Columbia Business School.
JJ is a global analytics and data science leader with 20 years of experience applying AI, machine learning, and advanced analytics to drive growth and strategic decision-making. As Director of Global Data Science, he leads the development and deployment of scalable data science solutions spanning audience strategy, media optimization, consumer insights, category forecasting, and innovation forecasting.
With more than 20 years of experience advising global organizations, Lana focuses on AI-enabled forecasting, planning, decision intelligence, and commercial analytics. She has worked with leading companies across CPG, consumer health, pharmaceuticals, and related industries, helping teams improve planning processes, strengthen forecast quality, and connect analytics more directly to business decisions. Her areas of expertise include forecasting and planning, IBP and APS solutions, foresight and innovation, CPG commercial analytics, and digital transformation. Before Cloverpop, she held leadership and advisory roles at BCG, Danone, Fractal, 4i, and Kearney.
Raul leads planning intelligence work at Cloverpop, covering forecasting, decision analytics, and the broader planning capabilities that CPG and consumer health organizations rely on to turn models, drivers, and scenarios into practical decisions. He is focused on embedding analytics directly into business processes, where they shape commercial outcomes rather than sit alongside them. He has more than 15 years of international experience in forecasting, revenue growth management, and large-scale planning transformations across major CPG companies. Before Cloverpop, he held forecasting and analytics roles at Fortune 500 companies and at Fractal and 4i. His work spans engagements across North America, Europe, and Latin America.
Ray Burke is the E.W. Kelley Professor at Indiana University’s Kelley School of Business, and founding director of the School’s Customer Interface Laboratory, a state-of-the-art facility for investigating how customers interact with new retail environments and technologies. His research focuses on understanding the influence of point-of-purchase factors on consumer shopping behavior. His articles have appeared in the Harvard Business Review, Journal of Consumer Research, Journal of Marketing, Journal of Marketing Research, and Marketing Science. Ray teaches the MBA Applied Marketing Research and PhD Advanced Shopper Research courses and was named by Poets & Quants as one of the world’s best b-school professors. Prior to joining IU, he served on the faculties of the Harvard Business School and Wharton. He has consulted for several leading companies in consumer goods and service industries, and his virtual shopping technology has been used by market research firms around the world.
Stefano Puntoni is the Sebastian S. Kresge Professor of Marketing at The Wharton School, and the co-director of Wharton Human-AI Research, an initiative that explores the design and deployment of intelligent systems. His research draws on insights from psychology, economics, and business to understand the impact of AI on consumers, workers, and society. He is currently the President of the Society for Consumer Psychology and an Associate Editor at the Journal of Marketing and the Journal of Consumer Research. At Wharton, he teaches on the topics of Human-AI interaction, consumer experience, and decision making.
Wendy Moe holds concurrent appointments as Dean’s Professor of Marketing at the University of Maryland’s Robert H. Smith School of Business and as an Amazon Scholar, supporting Amazon's Artificial General Intelligence (AGI) team. Her research focuses on the impact of artificial intelligence in marketing and the science, measurement, and analytics of digital customer engagement and online marketing. With implications for how consumers engage with AI, Professor Moe develops models for large-scale data in an effort to quantify consumer behaviors and the effects of marketing interventions. Professor Moe is a highly published academic with her research appearing in numerous leading business journals and is the author of Social Media Intelligence (Cambridge: 2014). Professor Moe has been recognized by the American Marketing Association and the Marketing Science Institute as a leading scholar in her field with the AMA Sheth/Journal of Marketing Award, the Howard Award (honorable mention), the MSI Young Scholar Award, the Erin Anderson Award, and the Buzzell Award. She is an academic fellow at the Marketing Science Institute, previously served as the Co-Editor-in-Chief of Journal of Interactive Marketing, and currently serves on the editorial boards of several leading journals. Professor Moe has consulted for Fortune 500 corporations and government agencies in the areas of web analytics, social media insights, and product forecasting. Her research in web analytics was the foundation for NetConversions, Inc., an early innovator in the area of online data collection and analysis, and she was part of the founding team that brought the company from start-up to acquisition in 2004. She has also served as an expert witness in litigation related to online consumer behavior, data tracking and analytics, and online marketing and advertising. Professor Moe has been on the faculty at the University of Maryland since 2004 and was the Associate Dean of Master's Programs at the Smith School of Business from 2019 to 2022. Prior to that, she was on the faculty at the University of Texas at Austin. She holds a PhD, MA and BS from the Wharton School at the University of Pennsylvania as well as an MBA from Georgetown University.
Ankit Dhawan is the Founder & CEO at BluePill AI, an AI-powered consumer insights company helping leading brands simulate how consumers will react to new products, concepts, campaigns, and experiences. BluePill AI creates digital twins of real audiences by combining survey, social, behavioral, and other data to help teams learn faster and make better decisions. Previously, Ankit was a Gen AI product leader at Amazon Web Services (AWS), where he helped build and bring emerging AI products to customers at scale. He is a Cornell University alum and—most importantly—a proud dad of 2 girls.
Mike Finnerty is the US President at Mutinex, where he drives the growth and adoption of always-on, AI-powered marketing effectiveness. With over 20 years of experience spanning marketing measurement, data strategy, and product management, he has a proven track record of helping brands build and adopt best-in-class measurement capabilities. Prior to his current role, Mike held several leadership positions with TransUnion, Neustar, and MarketShare, specializing in marketing attribution, experimentation, and large-scale MMM for Fortune 500 brands.
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