Adam Yala

Adam Yala is a PhD Candidate at MIT CSAIL and works at the intersection of Machine Learning and Oncology. His work spans both vision and natural language; he's built and clinically-deployed information-extraction systems to automatically structure pathology reports and systems to interpret mammograms for breast cancer, breast density, and future cancer risk. His mammography tools have been deployed at several health systems and have been used to interpret over 100,000 mammograms. Adam is the recipient of a Best Paper Award at EMNLP, an NSF Fellowship and an MIT EECS Fellowship.