Boris Shustin joined the Computational Mathematics Theme (CMT) at STFC Rutherford Appleton Laboratory in August 2024. Prior to that, he was a Postdoctoral researcher in the University of Oxford (1 year) and Tel Aviv University (6 months). He received his Ph.D. in Tel Aviv University, under the supervision of Prof. Haim Avron.
His research interests lie in optimization (Riemannian optimization, optimization methods for machine learning, stochastic optimization), numerical linear algebra, manifold learning, theory of machine learning and deep learning.