Caroline Uhler

MIT PhD student Xinyi Zhang is bridging machine learning and biology to understand fundamental biological principles, especially in areas where conventional methods have hit limitations.

A two-day conference at MIT reflected on the impact of the Institute for Data, Systems, and Society since its launch, as founding director Munther Dahleh prepares to step down.

MIT's Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) awards graduate fellowships to MIT PhD students Gokul Sampath and Jie Yun, who are working to improve water access in developing countries and create agricultural sustainability and resilience.

A new machine-learning model can identify the stage of disease in ductal carcinoma in situ, a type of preinvasive tumor that can sometimes progress to a deadly form of breast cancer. This could help clinicians avoid overtreating patients whose disease is unlikely to progress.

For the past decade MIT's Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) has supported interdisciplinary collaborations and high-risk, high-reward projects, enabling MIT faculty to pursue groundbreaking research that addresses some of the world's most pressing challenges facing our water and food systems.

MIT researchers developed theoretical foundations for methods that could identify the best way to aggregate genes into modules and efficiently learn the underlying cause-and-effect relationships among them. This approach holds promise for investigating the mechanisms of diseases and identifying new drug targets.

A new machine-learning approach helps scientists more efficiently identify the optimal intervention to achieve a certain outcome in a complex system, such as genome regulation, requiring far fewer experimental trials than other methods.

MIT researchers find neural networks can be designed so they minimize the probability of misclassifying data input. To create a neural network that can achieve optimal performance on any dataset, one must use a specific building block, known as an activation function, in the network's architecture.

MIT faculty members Lindsay Case, Siniša Hrvatin, Deblina Sarkar, and Caroline Uhlerhave received New Innovator Awards from the National Institutes of Health as part of its High-Risk, High-Reward Research program.