Bilge Acun is a Research Scientist at Meta AI / FAIR, SysML team. She is working on making large scale machine learning systems more efficient through algorithmic and system optimizations.
She received her Ph.D. degree in 2017 at the Department of Computer Science at Universtiy of Illinois at Urbana-Champaign, advised by Professor Laxmikant V. Kale. Before joining Meta/Facebook, she worked at the IBM Thomas J. Watson Research Center as a Research Staff Member.
Her research interests include Systems for Machine Learning, Parallel and Distributed Computing, Energy Efficient Computing, High Performance Computing (HPC), Smart Runtime Systems.