معرفی
Akshay Ramachandran is an upcoming Assistant Professor in the Department of Computer Science at the University of British Columbia starting July 2025. Currently, he is a Postdoctoral Researcher at École Normale Supérieure de Lyon (ENS Lyon) under Professor Omar Fawzi in the QINFO group, and previously held a postdoctoral position at Centrum Wiskunde & Informatica (CWI) in Amsterdam. His research focuses on convex analysis, optimization algorithms in non-Euclidean spaces, and applications to quantum information theory, numerical linear algebra, and high-dimensional statistics.
He earned his Ph.D. from the Cheriton School of Computer Science at the University of Waterloo, advised by Lap Chi Lau. Prior to that, he graduated from UC Berkeley with a B.S. in Electrical Engineering and Computer Science, working with Luca Trevisan and Nikhil Srivastava. His work bridges fundamental mathematical theory with computational challenges in optimization and statistics.
Research Interests
- Generalizations of convex analysis to non-Euclidean spaces
- Quantum information theory applications
- Geometric invariant theory
- High-dimensional statistical models
- Optimization algorithms for matrix and tensor scaling
His recent publications emphasize algorithmic advancements in frame scaling, matrix/tensor normal models, and spectral analysis with interdisciplinary applications across computer science and pure mathematics. He has been recognized with prestigious awards including the Mathematics Doctoral Prize (second place) and the Cheriton Distinguished Dissertation Award.
Professional activities include teaching roles at CWI and University of Waterloo, and active participation in workshops such as SODA, FOCS, and the Simons Workshop on Symmetry in Optimization.
