Aaditya Ramdas
Associate Professor
Bio
Aaditya Ramdas is an Associate Professor in the Department of Statistics and Data Science and the Machine Learning Department at Carnegie Mellon University, as well as a visiting academic at Amazon Research. Aaditya received the Sloan fellowship in mathematics, the IMS Peter Gavin Hall Early Career Prize, the inaugural COPSS Emerging Leader Award, the Bernoulli New Researcher Award, the NSF CAREER Award, faculty research awards from Google and Adobe, and the Umesh K. Gavasker thesis award for his Ph.D. His research in mathematical statistics and learning focuses on designing algorithms that both have strong theoretical guarantees and also work well in practice. Key areas of interest include post-selection inference, game-theoretic statistics and predictive uncertainty quantification. His areas of applied interest include privacy, neuroscience, genetics and auditing.