Hey there! I’m a 4th year PhD student in the joint program between Statistics & Data Science and Machine Learning departments at Carnegie Mellon University. I’m fortunate to be advised by Professor Aaditya Ramdas. We consider the topics around building reliable ML systems, and in particular, distribution-free uncertainty quantification (conformal prediction, calibration) and adaptations to the presence of distribution shifts. Before joining CMU, I obtained BSc and MSc degrees at Moscow Institute of Physics and Technology and Skoltech.
PhD in Statistics and Machine Learning, in progress
Carnegie Mellon University
MSc in Applied Mathematics, 2018
Skolkovo Institute of Science and Technology, Moscow Institute of Physics and Technology
BSc in Applied Mathematics, 2016
Moscow Institute of Physics and Technology