About
At Microsoft Research Cambridge, I work on creating novel computing paradigms that are amenable for optical implementation. I believe such unconventional optical hardware could provide a promising avenue for continued computational performance gains in scientific computing beyond Moore’s law era with applications in optimisation and AI.
During my Ph.D. at the University of Cambridge, I was designing physics-inspired algorithms for solving the discrete and continuous hard optimisation problems.
My overall research interests lie at the interface between computational complexity, device physics, and applied numerical optimisation.