Smita Krishnaswamy, PhD

Smita Krishnaswamy is a Professor of Computer Science and Genetics at Yale University. She is also affiliated with the Program for Applied Mathematics, WTI Institute for NeuroComputation and Machine Intelligence, Yale Cancer Center, and Yale Institute for the Foundations of Data Science. Smita is also an affiliate member of the MILA Quebec AI Institute. Smita's lab works on fundamental AI, deep learning and mathematical machine learning methods for accelerating discovery from biomedical and neuroscientific data. Her work features many methods for generative modeling, graph-based learning, geometric deep learning, and agentic AI for science. She has applied her techniques to discovery from cellular, molecular, and imaging data from neuroscience, psychology, stem cell biology, cancer, and immunology. Smita obtained her Ph.D. from the University of Michigan in Computer Science. Smita's work has won several awards including the NSF CAREER Award, Sloan Faculty Fellowship, and Blavatnik Fund for Innovation. Smita teaches deep learning, unsupervised learning, geometry topology in ML and other courses at the intersection of CS and applied math. She also teaches special courses in computational genomics at CGSI (UCLA), CSHL, as well as being a mentor for the Yale SUMRY math REU program.