Currently, I work on biologically plausible learning in deep networks (NeurIPS 2020 work on 3-factor Hebbian learning rules for deep nets; arXiv pre-print (accepted to NeurIPS 2021) on plausibility of convolutional networks) and on self-supervised learning (arXiv pre-print (accepted to NeurIPS 2021) on using kernel methods for this problem).
During my PhD, I did a breadth rotation project in multi-armed bandits with Tor Lattimore (DeepMind). Before joining Gatsby in 2017, I received a BSc (honours) in applied mathematics and physics from Moscow Institute of Physics and Technology (2013-2017). I also finished the first year of the Yandex School of Data Analysis (2016-2017, CS department).
Besides that, I did a few research internships:
- Skoltech, Moscow, Yury Maximov’s research group (2016-2017);
- EPFL, SRP program, Wulfram Gerstner’s lab (summer 2016);
- LMU, Amgen Scholars program, Christian Leibold’s lab (summer 2015).