Ambuj Tewari
Professor
Statistics
Literature, Science, and the Arts
PhD, Computer Science with Designated Emphasis in Communication, Computation and Statistics, University of California at Berkeley
MA, Statistics, University of California at Berkeley
B. Tech., Computer Science and Engineering, Indian Institute of Technology, Kanpur
Dr. Tewari’s primary area of research is machine learning. He likes working on the mathematical foundations of machine learning algorithms as well as finding new application areas for machine learning. Topics he has worked on recently include statistical learning theory, online learning, bandit problems, reinforcement learning, high-dimensional statistics, and optimization for large-scale learning. He is also working on applications of machine learning to problems in behavioral sciences, computational chemistry, computational biology, learning sciences and complex networks
Projects:
Depression monitoring and treatment using mobile phones, Precision psychiatry
Research Area(s)
Artificial Intelligence | mobile health
Grants
- Principal investigator of: Chemist-in-the-loop artificial intelligence for reaction discovery
- Principal investigator of: FAI: Overcoming label choice bias and underrepresentation with applications in precision medicine
- Multi-PI on: Collaborative Research: HDR TRIPODS: The Greater Data Science Cooperative Institute