Fred (Farbod) Roosta
University of California, Berkeley
Department of Statistics
International Computer Science Institute (ICSI)

About me

I am a postdoctoral fellow at the Department of Statistics at UC Berkeley, working with Prof. Michael Mahoney. I am also a member of the International Computer Science Institute (ICSI) and AMPLab in the Department of Computer Science. I received my PhD in 2015 in the Computer Science Department at the University of British Columbia (UBC). I was a member of the Scientific Computing Lab and IAM (UBC Institute of Applied Mathematics) under the supervision of Prof. Uri Ascher.

My résumé can be found here. (updated: September, 2016) 

News: In summer of 2017, I will be joining the School of Mathematics and Physics at the University of Queensland as a faculty member.
(a) your research interests lie anywhere in the union of Numerical Optimization, Machine Learning, Randomized Algorithms, Scientific Computing, High Dimensional Statistics, or Numerical Linear Algebra,
you are looking to do a PhD in one of the world's leading and highly ranked research universities in beautiful Australia,
then feel free to drop me a line with your current CV and a few words regarding your research/background.

Research Interests

  • Big Data and Machine Learning
  • Randomized Algorithms
  • Mathematical Statistics
  • Numerical Optimization
  • Numerical Analysis and Scientific Computing
  • Numerical Linear Algebra
  • Image Processing and Inverse Problems

Preprints and Publications





Reseach Grant

  • Robust, Efficient, and Local Machine Learning Primitives
    Program: Data Driven Discovery of Models (D3M)
    Agency: DARPA
    Award Period: May 01, 2017 for 4 years
    Role: coPI



  • Computational and Methodological Statistics (CMStatistics)

    Seville, Spain, December, 2016

  • Pacific Institute for the Mathematical Sciences (SCAIM Seminar)

    Vancouver, British Columbia, September, 2016

  • Institute of Applied Mathematics (IAM)

     Vancouver, British Columbia, September, 2016

  • Virginia Tech Math Colloquium

     Blacksburg, Virginia, September, 2016

  • SAMSI Program on Optimization (Invited Plenary Talk)

     Research Triangle Park, North Carolina, August, 2016

  • Recent Advances in Randomized Numerical Linear Algebra

     National Institute of Informatics, Shonan Village Center, Japan, July, 2016

  • Workshop on Algorithms for Modern Massive Data Sets (MMDS)

     Berkeley, California, June, 2016

  • SIAM Conference on Uncertainty Quantification

     EPFL, Lausanne, Switzerland, April, 2016

  • Matrix Computations and Scientific Computing Seminar

     Berkeley, California, March, 2016

  • AMPLab (All Hands Meeting)

     Berkeley, California, September, 2015

  • Sparse Representations, Numerical Linear Algebra, and Optimization

     BIRS, Alberta, October, 2014

  • SIAM Conference on Optimization

     San Diego, California, May, 2014

  • Pacific Institute for the Mathematical Sciences (SCAIM Seminar)

     Vancouver, British Columbia, November, 2013