Anupam Datta is a Principal Research Scientist and Snowflake AI Research Lead at Snowflake. He joined Snowflake as part of the acquisition of TruEra where he served as Co-Founder, President, and Chief Scientist from 2019-2024. Datta was on the faculty at Carnegie Mellon University from 2007-2022, most recently as a tenured Professor of Electrical & Computer Engineering and Computer Science. Datta's current research focuses on Trustworthy AI, spanning evaluation, explainability, fairness, and adversarial robustness of ML models and GenAI applications. Specific results include early work on Shapley Values & gradient-based explanations, fairness assessments, robustness of classical machine learning and deep learning models for natural language processing and computer vision, and the TruLens open source project for evaluation and experiment tracking of GenAI apps. These research results have had a significant impact on products at TruEra and Snowflake.
Datta has published over 100 research papers, served as Chair of the National Academies Workshop on Assessing and Improving AI Trustworthiness, on the Steering Committee of of the ACM Conference on Fairness, Accountability, and Transparency, and the IEEE Computer Security Foundations Symposium, and as an Editor-in-Chief of Foundations and Trends in Privacy and Security. He received the 2018 David P. Casasent Outstanding Research Award from the CMU College of Engineering, a 2020 Young Alumni Achiever Award from IIT Kharagpur, a 2021 Google Faculty Research Award, and several awards for top papers at conferences.
Datta obtained a B.Tech. from IIT Kharagpur, and Ph.D. and M.S. degrees from Stanford University in Computer Science, where he currently teaches a course on Trustworthy AI.
