Alessandro Epasto

Alessandro Epasto

I am a senior staff research scientist at Google, New York working as Tech Lead of a privacy team in the Google Research Algorithms and Optimization group led by Vahab Mirrokni. I received a Ph.D in computer science from Sapienza University of Rome, where I was advised by Professor Alessandro Panconesi and supported by the Google Europe Ph.D. Fellowship in Algorithms, 2011. I was also a post-doc at the department of computer science of Brown University in Providence (RI), USA where I was advised by Professor Eli Upfal. During my Ph.D. studies I was twice an intern at Google Mountain View (2012, 2014) and once at Google NYC (2013). My research interests include algorithmic problems in machine learning and data mining, in particular in the areas of privacy, clustering, and large scale graphs analysis.
Authored Publications
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    Google
Private estimation algorithms for stochastic block models and mixture models
Hongjie Chen
Tommaso D'Orsi
Jacob Imola
David Steurer
Stefan Tiegel
54rd Annual ACM Symposium on Theory of Computing (STOC'23) (2023)
Fair Correlation clustering
23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020) (2020) (to appear)