Distribution Approximation Techniques for Security, Differential Privacy, and Learning


Jacobs Hall, Room 2512, Jacobs School of Engineering, 9500 Gilman Dr, La Jolla, San Diego, California 92093

Sponsored By:
Professor Young-Han Kim

Paul Cuff, Ph.D.
Dept. Of Electrical Engineering
Princeton University

Speaker Bio:
Paul Cuff received the B.S. degree in electrical engineering from Brigham Young University, Provo, UT, in 2004 and the M.S. and Ph.D. degrees in electrical engineering from Stanford University in 2006 and 2009. His Ph.D. research advisor was Thomas Cover. Since 2009 he has been an Assistant Professor of Electrical Engineering at Princeton University. Over the years Dr. Cuff has interacted with industry in both the technology and the financial sectors, spending summers at Google, Microsoft Research, and elsewhere, and giving talks at a number of hedge funds. In 2005, while in graduate school, he co-founded a tech startup called Adaptive Hearing Solutions with Bernard Widrow centered around signal processing technology. This venture began with the winning of the Stanford business plan competition. As a graduate student, Dr. Cuff was awarded the ISIT 2008 Student Paper Award for his work titled "Communication Requirements for Generating Correlated Random Variables." This work has led to fruitful and unexpected avenues of research in secure source coding. As faculty, he received the NSF Career Award in 2014 and the AFOSR Young Investigator Program Award in 2015., and a member of APS and AVS.

Cheryl Wills (clwills@ece.ucsd.edu)