Staff Research Scientist at Google Research

His primary research interests include applications of Machine Learning to problems in Natural Language Processing and Information Retrieval. He also work on machine learning for shopping. He currently leads research efforts focused on multilingual text-understanding and enabling cross-lingual transfer learning.

Assistant Professor of Quantitative Marketing at Yale University.

His work combines human and machine intelligence to augment marketing and product design decisions under firm capabilities. Methodologically, he develops scalable machine learning approaches to integrate large-scale data across the product life-cycle.

Senior Applied Scientist with AWS AI Lab at Amazon.Com

He is a founding science lead of Amazon Personalize: a fully-managed service that enables developers to build applications for real-time personalized recommendations with no ML expertise required. Yifei received his PhD degree from Machine Learning Department at Carnegie Mellon University. His research interests lie in the decision-making in large-scale spatio-temporal domains using tools in causal analysis, reinforcement learning, distributed deep learning, approximate inference, and uncertainty-driven exploration. His work on Temporal-Contextual Recommender Systems won Best Application Paper Award at KDD 2020 conference.

Assistant Professor of Operations, Information, and Decisions at Wharton School of the University of Pennsylvania.

He researches how firms make and earn returns to investments in technology, and is particularly interested in the economics of Artificial Intelligence. Some of his recent projects have focused on predicting the economic effects of machine learning.

Assistant Professor of Business Analytics at Tepper School, CMU.

He studies the application, development, and impact of AI in e-commerce and the digital economy. Two current streams of research are 1) developing and applying interpretable machine learning (transparent algorithm) in different business settings and 2) measuring the economic impact of unstructured data. He runs the Business Insights through Text Lab (BITLAB).

Senior Researcher at Adobe Research.

His research lies in the broad fields of machine learning and statistical modeling, with applications to data analytics, recommender system, and user behavior modeling. Towards the next-generation digital marketing solutions, his recent work focuses on exploring innovative technologies to automate the digital marketing process in an interpretable and interactable way.

Assistant Professor of Information Systems at UBC Sauder School of Business

Her research uses econometric and machine learning techniques to analyze individual behavior in technology-enabled markets. She is particularly interested in understanding how technology influences consumer behavior in markets for digital education.