Michael Mahoney

Job title: 
BIDS Faculty Affiliate
Statistics, UC Berkeley
  • Associate Professor, Statistics, UC Berkeley

Michael Mahoney works on algorithmic and statistical aspects of modern large-scale data analysis. Much of his recent research has focused on large-scale machine learning including randomized matrix algorithms and randomized numerical linear algebra; geometric network analysis tools for structure extraction in large informatics graphs; scalable implicit regularization methods; and applications in genetics, astronomy, medical imaging, social network analysis, and internet data analysis.