Hi there! I am a Senior Data Scientist at Walmart Global Tech (AdTech team). I have recently graduated from the joint PhD 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.
My most recent research interests include predictive uncertainty quantification (conformal prediction, posthoc recalibration) and sequential testing (sequential nonparametric two-sample and independence testing). I am also highly interested in developing statistical methods that are robust to distribution shifts for enhancing their applicability to practice. Before joining CMU, I obtained BSc and MSc degrees at Moscow Institute of Physics and Technology and Skoltech.
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