Chih-Chieh Yang is a research staff member in the Data Centric Systems group at IBM Research. He received both his B.S. and M.S. from National Tsing Hua University (NTHU), and accumulated industry experiences working for Mediatek, a top Taiwanese IC design house, as a software engineer for several years before starting and eventually earning his Ph.D from University of Illinois at Urbana-Champaign (UIUC). He joined IBM after completing the Ph.D. His past research experiences include designing software components that facilitate the development of distributed applications and high-level parallel programming abstractions. His current focus is on scaling distributed machine learning applications to both current state-of-the-art supercomputers and future extreme scale HPC systems. He is also exploring opportunities of applying machine learning techniques in scientific simulations.