Ambuj Tewari is a Professor in the Departments of Statistics and Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. He specializes in artificial intelligence and machine learning, focusing on rigorous theoretical analysis of AI and ML models and algorithms. His research addresses challenging real-world applications, particularly in the fields of chemistry and psychiatry. Tewari’s work has been recognized with several prestigious awards, including the NSF CAREER grant in 2015, the Sloan Research Fellowship in 2017, and the Adobe Data Science Research Award in 2020. In 2022, he was named a Fellow of the Institute of Mathematical Statistics and received the Early Career Award from the Department of Statistics and Data Sciences of the International Indian Statistical Association in 2023. Tewari has served on the editorial boards of influential journals like the Journal of Machine Learning Research and Statistical Science, and he is actively involved in various academic programs at the University of Michigan, including the AI Science Postdoctoral Fellowship Program. His education includes a B.Tech from IIT Kanpur and a Ph.D. in Statistics, with research assisting under notable advisors. Tewari has also contributed non-technical articles to media outlets and continues to teach and engage extensively in the academic community.
TTIC • Chicago, IL
Conducted research in statistical machine learning.
University of Michigan • Ann Arbor, MI
Worked with professors Inderjit Dhillon and Pradeep Ravikumar on applied machine learning projects.