Today, Alexander Terenin successfully defended his PhD and passed his viva. Alexander’s PhD research looked at how probabilistic models can be brought to manifolds. Furthermore, Alexander’s research contributed to having principled geometric priors in reinforcement learning. His examiners were Stefano Ermon and Michael Bronstein.
Congratulations, Dr. Terenin, and good luck on your way ahead!
Alexander’s next stop is at the University of Cambridge.