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Michael Mahoney

Associate Adjunct Professor at UC Berkeley

Dr. Michael Mahoney is a seasoned professional specializing in algorithmic and statistical aspects of large-scale data analysis, with a strong focus on scientific and Internet applications.

Throughout his career, he has conducted significant research in geometric approximation algorithms, particularly in analyzing the structure and dynamics of large informatics graphs, community detection, clustering, and information dynamics within extensive social and information networks.

Dr. Mahoney pursued his Ph.D. in Physics at Yale University and has since held various key positions in prestigious institutions.

Currently, he serves as an Associate Adjunct Professor at the University of California, Berkeley, contributing his wealth of knowledge and experience to the academic community.

Previously, Dr. Mahoney has worked as an Adviser and Data Scientist at Vieu Labs, a Research Scientist at Stanford University, a Senior Research Scientist at Yahoo Research, a Gibbs Instructor, and Assistant Professor at Yale University, as well as a Postdoctoral Researcher at Columbia University.

His diverse educational background and extensive professional experience make Dr. Mahoney a respected figure in the realm of data analysis and scientific research.

Michael Mahoney
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Location

San Francisco Bay Area