SDSC core faculty is being honored for her “fundamental contributions at the interface of statistics, machine learning, and biology.”

With the right building blocks, MIT researchers including SDSC core faculty Caroline Uhler show that machine-learning models can more accurately perform tasks like fraud detection or spam filtering

Academics, industry experts, and practitioners shared their stories, accomplishments, and knowledge at the seventh annual Women in Data Science (WiDS) Cambridge conference.

SDSC core faculty Tamara Broderick and colleagues build a “taxonomy of trust” to identify where confidence in the results of a data analysis might break down.

SDSC affiliate Aleksander Mądry urges lawmakers to ask rigorous questions about how AI tools are being used by corporations.