PhD candidate at Bayesian Methods Research Group, HSE
Lecturer at Generative Models course
Ph.D. student at Bayesian Methods Research Group since 2015. His research interests include the probabilistic approach to deep learning, in particular, theoretical foundations and applications of deep generative models.
Kirill organizes a research seminar in machine learning at the Higher School of Economics’ Faculty of Computer Science since 2016, leads practical seminars on Bayesian methods in machine learning and graphical models at Yandex School of Data Analysis since 2017.