Thomas Goldstein

Professor
4144 Iribe Center
(301) 405-0053
Education: 
Ph.D., UCLA (Applied Mathematics)
Special Awards/Honors: 
Sloan Research Fellowship
Biography: 

Thomas Goldstein is the Volpi-Cupal Endowed Professor of Computer Science. He is also the director of the University of Maryland Center for Machine Learning and a lead faculty member in the Institute for Trustworthy AI in Law & Society.

Goldstein’s research focuses on large-scale optimization and distributed algorithms for big data. His work has applications in machine learning and image processing, especially for MRI and CT.

Before coming to UMD, Goldstein completed a postdoctoral fellowship with the Department of Electrical and Computer Engineering at Rice University. He has also served as a postdoctoral fellow at Stanford University, and as a data scientist for the Washington University School of Medicine.

Goldstein received his doctorate in applied mathematics from UCLA in 2010.

Go here to view his academic publications on Google Scholar.

Publications

There are no publications listed for this person.