To fully benefit from big data analytics, teams must be given opportunities to learn the latest and most effective data science techniques.

Chernozhukov, a professor of Economics and core faculty member of the SDSC and the Institute for Data, Systems, and Society, received the award for path-breaking contributions to high-dimensional inference.

Sra received the award for his research “Modern nonconvex optimization for machine learning: foundations of geometric and scalable techniques.”

Shah, along with LIDS alumni Shreevatsa Rajagopalan and Jinwoo Shin, received the award for their paper “Network adiabatic theorem: an efficient randomized protocol for contention resolution.”

Moitra is a core SDSC Faculty member and Associate Professor of Mathematics. His research ranges from statistical inference to optimization and approximation to codes and combinatorics.