name of picture

Martin J. Wainwright

Picture of Cory Hall
Biography Papers Teaching Prospective Students Group members Directions to Campus  

Chancellor's Professor
Department of Electrical Engineering and Computer Sciences
Department of Statistics
University of California at Berkeley

Contact information

EECS information:

263 Cory Hall
Berkeley, CA 94720
Phone: (510) 643-1978
Fax: (510) 643-7846
Email: x@y with x=wainwrig
Statistics information:

421 Evans Hall #3860
Berkeley, CA 94720-3860
Phone: (510)-643-1975
Fax: (510) 642-7892
Email: x@y with x=wainwrig

Research affiliations and useful links

  • BLISS: Berkeley Laboratory for Information and System Sciences

  • BAIR: Berkeley Artificial Intelligence Lab

    Some seminars and reading groups

    Upcoming seminars in the Department of Statistics.
    Signal Processing, Networking and Communication Seminar in the Department of EECS.


  • M. J. Wainwright (2017) High-dimensional statistics: A non-asymptotic viewpoint. To appear.

  • T. Hastie, R. Tibshirani and M. J. Wainwright (2015). Statistical Learning with Sparsity: the Lasso and Generalizations. Chapman and Hall/CRC Press, Series in Statistics and Applied Probability.

  • M. J. Wainwright and M. I. Jordan (2008). Graphical models, exponential families, and variational inference. Foundations and Trends in Machine Learning, Vol. 1, Numbers 1--2, pp. 1--305, December 2008.


    High-dimensional estimation
    Optimization in statistical settings
    Testing, FDR and related problems
    Ranking problems
    Statistics and privacy
    Sampling and Markov chains
    Nonparametric statistics

    Older papers

    Graphical models and message-passing
    Coding, data compression, algorithms
    Statistical image processing
    Statistical approaches to biological vision

    Current group members

    Graduate students

  • Joe Borja
  • Jianbo Chen
  • Raaz Dwivedi
  • Billy Fang
  • Koulik Khamaru
  • Ashwin Pananjady
  • Yuting Wei
  • Fanny Yang

    Postdoctoral researchers

  • Aaditya Ramdas
  • Nhat Ho
  • Ludwig Schmidt


  • Alekh Agarwal Research Scientist, Microsoft Research, New York.
  • Arash Amini Assistant Professor, Dept. of Statistics, UCLA
  • Sivaraman Balakrishnan, Assistant Professor, Dept. of Statistics, CMU
  • Joseph Bradley Databricks
  • Yudong Chen, Assistant Professor, ORIE, Cornell University
  • Alexandros D.G. Dimakis Associate Professor, Department of ECE, UT Austin
  • John Duchi, Assistant Professor, Departments of Statistics and EE, Stanford University
  • Pamela Lee, Associate, Gibson, Dunn & Crutcher
  • Po-Ling Loh, Assistant Professor, Department of Electrical and Computer Engineering, Univ. Wisconsin, Madison.
  • Matt Johnson, Postdoc, Harvard University
  • Johannes Lederer, Assistant Professor, University of Washington
  • Sahand Negahban Assistant Professor, Department of Statistics, Yale University.
  • XuanLong Nguyen Associate Professor, Department of Statistics, Univ. Michigan
  • Nima Noorshams, Senior Data Scientist, C3 IoT
  • Jonas Peters Associate Professor, Department of Mathematical Sciences, University of Copenhagen
  • Mert Pilanci, Assistant Professor, Department of EECS, University of Michigan
  • Garvesh Raskutti Assistant Professor, Department of Statistics, Univ. Wisconsin-Madison
  • Pradeep Ravikumar Associate Professor, Machine Learning Department, CMU
  • Prasad Santhanam Assistant Professor, Department of ECE, University of Hawaii
  • Nihar Shah Assistant Professor, Machine Learning Department, CMU
  • Mahdi Soltanolkotabi, Assistant Professor, Department of EE, University of Southern California
  • Sameer Vermani, Engineer, Qualcomm
  • Yun Yang, Assistant Professor, University of Florida
  • Yuchen Zhang, Postdoc, Stanford University
    Last updated 01/2018