mathias lecuyer

CS PhD student @ Columbia University

Overview

Mathias Lecuyer
I am a CS PhD candidate at Columbia. Among many other things, I like to build stuff, learn new programming languages, travel, and rock climb. I also love to read, on topics ranging from econ to history and ecology. My research is in distributed systems, I currently focus on leveraging statistics and machine learning to improve data management and transparency.

Research

Data has become the principal asset of the Internet era. While this data offers unique opportunities to improve personal and business effectiveness, it also poses serious risks to users' privacy, and to organizations, by increasing their attack surfcae as well as exposing by extensive data stores to external and internal attacks. In my research, I build tools and design mechanisms that leverage statistics and machine learning to: increase the current Web's transparency by revealing how personal data is being used; and enable a more rigorous and selective approach to big data collection, access, and protection, to reap its benefits without imposing undue risks.
I am fortunate to work with three amazing advisors, Roxana Geambasu, Augustin Chaintreau, and Daniel Hsu ; as well as a number of great collaborators including Riley Spahn and Vaggelis Atlidakis from Columbia, and Siddhartha Sen, Amit Sharma, and Aleksandrs Slivkins from MSR.

Projects

Recent talks

Papers