My current research is focused primarily on questions related to data privacy and secure multiparty computation. I am particularly interested in the intersection of these two areas. Recently, I have been working on designing and analysing protocols that allow multiple parties to efficiently compute and release statistics derived from sensitive information and that provide provable privacy guarantees.
I am also working on several projects focused translating technologies that currently exist primarily in the academic literature into practical products that can be used in government and industrial applications. In particular, I am interested in developing tools that will make it possible for government agencies to use differential privacy to quantify the risk of privacy breaches associated with the data that they make publicly available.
For a list of my research publications, see my Google Scholar profile
I received my Ph.D. in mathematics from the University of Utah in 2010. After graduating, I left academia and worked as an applied research mathematician for the U.S. Government for ten years. In 2020 I changed gears again and returned to academia when I joined the Australian National University. I am currently a member of the Software Innovation Institute where I work as a senior research translation engineer. My research interests include cryptology, data privacy, and machine learning.