Michael is a senior researcher in the Scientific Data Division with multiple affiliations, including at UC Berkeley. His work on the applied mathematics of data and scientific machine learning, specifically on the algorithmic and statistical aspects of big data, with contributions to both theoretical methods and practical implementations.

For more information, please visit his website at stat.berkeley.edu/mmahoney.