The MIT Statistics and Data Science Center hosts guest lecturers from around the world in the weekly Statistics and Data Science seminar series (formerly the Stochastics and Statistics Seminars).
Spring 2026
Feb 6 – Subhodh Kotekal (MIT)
Diffusion models and minimax rates: scores, functionals, and tests
Feb 13 – Max Simchowitz (Carnegie Mellon University)
Feb 20 – Dmitriy Drusvyatskiy (University of California, San Diego)
When do spectral gradient updates help in deep learning?
Feb 27 – Michael Albergo (Harvard University)
Mar 6 – Piotr Indyk (MIT)
Mar 13 – Sifan Liu (Duke University)
Mar 20– Dan Alistarh (Institute of Science and Technology, Austria – ISTA)
Mar 27 – No Seminar
Apr 3 – Surbhi Goel (University of Pennsylvania)
Apr 10 – No Seminar
Apr 17 – Hamed Hassani (University of Pennsylvania)
Apr 24 – Yihong Wu (Yale University)
May 1 – Edgar Dobriban (University of Pennsylvania, Wharton)
May 8 – Jon Kleinberg (Cornell University)