Polina Proskura

Polina Proskura is an applied scientist and researcher specialising in deep learning, natural language processing, and reinforcement learning. She graduated from MIPT in 2019 and completed her Master's in Data Science at EPFL in 2022.

She currently works as an Applied Scientist at Amazon, where she contributes to various deep learning projects powering large-scale applications on amazon.com. Her recent research focuses on effective ensembling techniques for neural networks, with applications in NLP and model robustness. She is the co-author of several peer-reviewed publications, including work on uncertainty estimation for neural networks, core deep learning problems, and large-scale NLP systems.

In parallel to her industrial work, she has teaching experience as a seminar leader for Machine Learning and Nonlinear Optimisation courses. She works on both theoretical and practical levels, focusing on making modern machine learning methods accessible and effective in real-world production environments.