Michael Mahoney

Photo of Michael Mahoney 

I am at ICSI and the Department of Statistics at UC Berkeley, and I am also in the RISELab (in the past AMPLab) in the Department of EECS.

Email: mmahoney is the username, and stat dot berkeley dot edu is the domain name

Most of my work focuses on the theory and practice of what is now called big data, although I was doing it back when it was just massive, and prior to that when it was just large. On the theory side, we develop algorithmic and statistical methods for matrix, graph, regression, optimization, and related problems. On the implementation side, we provide implementations (e.g., on single machine, distributed data system, and supercomputer environments) of a range of matrix, graph, and optimization algorithms. On the applied side, we apply these methods to a range of problems in internet and social media analysis, social networks analysis, as well as genetics, mass spec imaging, astronomy, climate, and a range of other scientific applications. For more information, you can also see my CV; and here is a headshot and bio.

Recent News

Students and Postdocs

I have been fortunate to work with a number of great students and postdocs over the years.

FODA/TRIPODS Postdocs:

  • Michal Derezinski

  • Jelena Diakonikolas

  • Amir Gholaminejad

  • Wooseok Ha

  • Rajiv Khanna

  • Francois Lanusse

  • Yian Ma

  • Yan Shuo Tan

Current Students and Postdocs:

  • N. Benjamin Erichson (postdoc, UC Berkeley)

  • Zhewei Yao (student, UC Berkeley)

  • Feynman Liang (student, UC Berkeley)

  • Kai Rothauge (postdoc, UC Berkeley)

Former Students and Postdocs