
3Qs: Caroline Uhler on biology and medicine’s “data revolution”
Caroline Uhler is Andrew (1956) and Erna Viterbi Professor of Engineering; Professor of EECS and in IDSS; and Director of the Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard, where she is also a core institute and scientific leadership team member. Next year, she’ll deliver a sectional lecture to the International Congress of Mathematicians at their annual congress in Philadelphia, a high honor.

Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.

A new method for detecting gene-expression patterns linked to lineage progression, providing a powerful tool for studying cell state memory across biological systems.

The career development chair recipients are Cheng-Zhi Anna Huang, Kuikui Liu, Marzyeh Ghassemi, Kaiming He, and Alexander Rives.

Department of EECS names new chair recipients
The new chairs became effective July 1.

The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.

Making genetic prediction models more inclusive
MIT computer scientists developed a way to calculate polygenic scores that makes them more accurate for people across diverse ancestries.

Caroline Uhler named SIAM Fellow for 2023
In the award announcement, SIAM noted that Uhler is being honored for her “fundamental contributions at the interface of statistics, machine learning, and biology”.

With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.