Tom Goldstein

About

Tom Goldstein is the Perotto Associate Professor of Computer Science at University of Maryland. His research lies at the intersection of machine learning and optimization, and targets applications in computer vision and signal processing. He works at the boundary between theory and practice, leveraging mathematical foundations, complex models, and efficient hardware to build practical, high-performance systems. He design optimization methods for a wide range of platforms ranging from powerful cluster/cloud computing environments to resource limited integrated circuits and FPGAs. Before joining the faculty at Maryland, Tom completed his PhD in Mathematics at UCLA, and was a research scientist at Rice University and Stanford University. Tom has been the recipient of several awards, including

Education

• PhD, UCLA, 2010
• BA, Washington University, 2006