Michael Friedlander

IBM Professor of Computer Science and Professor of Mathematics, UBC

Michael Friedlander is IBM Professor of Computer Science and Professor of Mathematics at the University of British Columbia. He received his PhD in Operations Research from Stanford University in 2002, and his BA in Physics from Cornell University in 1993. From 2002 to 2004 he was the Wilkinson Fellow in Scientific Computing at Argonne National Laboratory. He has also been Professor of Mathematics at the University of California, Davis, and has held visiting positions at UCLA's Institute for Pure and Applied Mathematics and at UC Berkeley's Simons Institute for the Theory of Computing.  He serves on the editorial boards of various journals, including Mathematics of Operations Research and the SIAM Journal on Optimization. His research in computational mathematics focuses on the development and analysis of algorithms for large-scale optimization, their software implementation, and applying these to problems in signal processing and machine learning.

He has been a member of the PIMS Board of Directors since 2017.

Michael Friedlander
Scientific, Workshop
Workshop on Modern Nonsmooth Optimization
August 9, 2022
University of Washington
This short workshop is being hosted at the University of Washington and is in honor of Prof Adrian Lewis in recognition of his fundamental contributions to nonsmooth optimization Schedule: Aug 9: 9 am -- 5pm & Invited talks at the University of...
Scientific, Seminar
2009 SCAIM Seminar - 12
September 15, 2009
University of British Columbia
Linear operators are at the core of many of the most basic algorithms for signal and image processing. Matlab's high-level, matrix-based language allows us to express naturally many of the underlying matrixoperations---e.g. computation of matrix...