Michael Figurnov is a Staff Research Scientist at DeepMind in London. He has obtained a PhD in Computer Science from the Higher School of Economics in 2019 (supervisor: Dmitry Vetrov), and a Specialist degree from Moscow State University in 2013. Michael’s research interests include deep learning, computer vision, Bayesian methods and protein folding. His work has appeared at NeurIPS, ICML, CVPR and ICLR conferences, as well as JMLR and Nature.