Gerome Miklau is a Professor of Computer Science at the University of Massachusetts, Amherst. His research focuses on private and secure data management. He designs algorithms to accurately learn from data without disclosing sensitive facts about individuals, primarily in the model of differential privacy. He also designs novel techniques for controlling access to data, limiting retention of data, and resisting forensic analysis. He recently co-founded Tumult Labs, a start-up focused on commercializing privacy technology. Prior to that, he consulted for the U.S. Census Bureau on algorithms that will be deployed for the 2020 decennial census.
Professor Miklau received the Best Paper Award at the International Conference of Database Theory in 2013, the ACM PODS Alberto O. Mendelzon Test-of-Time Award in 2012, a Lilly Teaching Fellowship in 2011, an NSF CAREER Award in 2007, and he won the 2006 ACM SIGMOD Dissertation Award. He received his Ph.D. in Computer Science from the University of Washington in 2005. He earned Bachelor's degrees in Mathematics and in Rhetoric from the University of California, Berkeley, in 1995.