Stefanie Jegelka

What Graph Models, A Branch Of Machine Learning, Like To Learn
Forbes | July 24, 2023

SDSC core faculty Stefanie Jegelka explores how models learn in order to potentially improve success rates and adjust the processes for more focu...


Illustration with brains. Image: Jose-Luis Olivares/MIT with figures from iStock

Tracking brain waves could reduce post-op complications
MIT News | July 17, 2023

A study led by SDSC member Emery Brown finds that distinctive EEG patterns indicate when a patient’s state of unconsciousness under general anest...


Rahul Mazumder

Statistics, operations research, and better algorithms
MIT News | July 12, 2023

IDSS affiliate and MIT Sloan Associate Professor Rahul Mazumder finds ways to create and refine statistical models with an array of applications.


Professor Aleksander Madry delivers a lecture as part of the Artificial Intelligence for National Security Leaders (AI4NSL) program. The three-day program educates leaders who may not have a technical background on the basics of AI, machine learning, and data science, and how these topics intersect with national security.

Educating national security leaders on artificial intelligence
MIT News | June 30, 2023

MIT experts like SDSC affiliate Aleksander Madry educated national security leaders in AI fundamentals.


Navid Azizan

Navid Azizan receives 2023 Outstanding UROP Faculty Mentor Award
LIDS News | June 11, 2023

Award is given to mentors who have demonstrated exceptional guidance and teaching in a research setting.



MIT Statistics + Data Science Center
Massachusetts Institute of Technology
77 Massachusetts Avenue
Cambridge, MA 02139-4307
617-253-1764