Broderick Lab

MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.

MIT EECS associate professors and CSAIL principal investigators Tamara Broderick and Michael Carbin received the Presidential Early Career Award for Scientists and Engineers (PECASE). Broderick was awarded for her work on robust machine learning, while Carbin was honored for his research on programming systems.

Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.

An easy-to-use technique could assist everyone from economists to sports analysts.

Two CSAIL members from the School of Engineering have been granted tenure in 2023.

A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.

A new measure can help scientists decide which estimation method to use when modeling a particular data problem.