Bilge Acun is a Research Scientist at Facebook AI Infrastructure. She is working on end-to-end performance optimization of distributed machine learning applications, i.e. from computer vision, speech recognition, personalization, with Pytorch and Caffe2 on large-scale data-centers with GPUs.
She received her Ph.D. degree at the Department of Computer Science at Universtiy of Illinois at Urbana-Champaign, advised by Professor Laxmikant V. Kale. Before joining Facebook, she worked at the IBM Thomas J. Watson Research Center as a Research Staff Member.
Her research interests include Parallel and Distributed Computing, Systems for Machine Learning, Energy Efficient Computing, High Performance Computing (HPC), Smart Runtime Systems.