Research uses the theory of optimal transport to address data that are whole geometric objects rather than a collection of individual points, with applications in medical imaging, LiDAR for self-driving cars, and more.

Learners from around the globe now have enhanced access to “blended” master’s programs at MIT and elsewhere.

Statistics and Data Science Center affiliate Aviv Regev helped pioneer single-cell genomics. Now she’s co-chairing a massive effort to map the trillions of cells in the human body.

Moitra, an MIT Math professor and core faculty member with the Statistics and Data Science Center, won the award for his course ‘Algorithmic Aspects of Machine Learning.

Kaji works at the intersections of economics, statistics, and machine learning.