I am a Senior Data Scientist at Walmart Global Tech (AdTech team). I recently earned my PhD from the joint program between Statistics & Data Science and Machine Learning departments at Carnegie Mellon University, where I had been fortunate to be advised by Professor Aaditya Ramdas. Prior to joining CMU, I obtained my BSc and MSc degrees at Moscow Institute of Physics and Technology and Skoltech.
My most recent research interests include predictive post-hoc uncertainty quantification (including conformal prediction and calibration) and anytime-valid inference (such as sequential nonparametric two-sample and independence testing). I am also interested in designing practical methods for statistical inference in presence of distribution shifts.
PhD in Statistics & Machine Learning, 2023
Carnegie Mellon University
MSc in Applied Mathematics & Computer Science, 2018
Skolkovo Institute of Science and Technology, Moscow Institute of Physics and Technology
BSc in Applied Mathematics & Physics, 2016
Moscow Institute of Physics and Technology