A new EECS course on applications of machine learning teaches students from a variety of disciplines about one of today’s hottest topics.

L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.

SDSC affiliate, Broad member, and professor of biology Aviv Regev is part of a team of researchers developing a new system for mapping cells that uses chemical reactions to encode spatial information.

We congratulate Aleksander Mądry, SDSC affiliate and Associate Professor in Electrical Engineering and Computer Science, on his recently announced tenure award.

IDSS recognized Rakhlin for developing a new course and serving as head of the Interdisciplinary Doctoral Program in Statistics.