Regina Barzilay is a professor at MIT and a faculty lead of the AI work at its Jameel Clinic for machine learning in health. She built her early reputation in natural language processing before turning much of her attention to applying machine learning to medicine, a shift she has connected to her own experience as a cancer patient.
She is a senior author on the 2020 Cell paper that used a neural network to discover halicin, a structurally novel antibiotic effective against drug-resistant bacteria. Her group has also worked on models that predict breast cancer risk from mammograms earlier than traditional methods, aiming to make screening more personalized and effective.
In 2020 Barzilay became the first recipient of the Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity, a million-dollar prize administered by the Association for the Advancement of Artificial Intelligence, recognizing her work bridging machine learning, drug discovery, and cancer detection.
For a general reader, Barzilay is a leading example of a researcher who moved from core AI methods into high-stakes medical applications, and her antibiotic and cancer-screening projects are frequently cited as evidence that machine learning can contribute to discovery and diagnosis, not just prediction.