David Wipf

I completed my Ph.D. at the University of California, San Diego as an NSF Fellow in Vision and Learning in Humans and Machines. Subsequently I was an NIH Postdoctoral Fellow at the University of California, San Francisco working on Bayesian estimation as applied to the problem of finding sparse representations of signals using overcomplete (redundant) dictionaries of candidate features. In 2011 I joined the Visual Computing Group at Microsoft Research in Beijing.


  • Reviewer Award, NIPS 2013; ICCV 2013, 2015; CVPR 2013, 2015-16

  • The IEEE Signal Processing Society Best Paper Award, 2012

  • NIH NRSA Postdoctoral Fellowship, 2009-2011

  • Abstract Award, Human Brain Mapping, 2009

  • Young Investigator Award, International Conference on Biomagnetism, 2008

  • Outstanding Student Paper Award, Neural Information Processing Systems (NIPS), 2006

  • NSF IGERT Fellow in Vision and Learning in Humans and Machines, 2005-2006

  • ARCS Foundation Scholar (one of three awarded in the UCSD ECE Department), 2003-2006

  • Best Paper Award, IEEE International Workshop on Machine Vision for Intelligent Vehicles, 2005

  • NSF EAPSI Fellowship, Peking University, 2004


  • Action Editor, Journal of Machine Learning Research (JMLR), 2016-present
  • Editorial Board of JMLR, 2013-2016
  • IEEE Machine Learning for Signal Processing Technical Committee, 2014-present
  • Area Chair, NIPS 2014, 2017, ICCV 2017
  • Program Committee Member/Reviewer for NIPS, ICML, UAI, CVPR, ECCV, ICCV