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We are a highly interdisciplinary research group, bringing together trainees and scientists from computer science, neuroscience, bioinformatics, physics, computing and data sciences, electrical and computer engineering, and medicine. We actively collaborate with clinicians and domain experts across diverse specialties and institutions globally. This unique convergence of disciplines has enabled us to publish across the full spectrum of scientific inquiry, from top-tier journals like Nature Medicine to premier computer science venues such as the International Conference on Machine Learning (ICML). Our mission is to create methods to fit the science and not make science fit the methods. Together, we are advancing impactful science at the intersection of AI and human health.

Joining our laboratory

We form small teams comprising individuals with complementary expertise and work persistently to build comprehensive solutions.

Important: If you are interested in joining us, then we encourage you to contact an active lab member (click on Team) and talk about your interests. We do not encourage you to email the PI directly before talking with the lab members.

Funding

We are grateful for funding from the American Heart Association, the National Institute on Aging, the National Heart, Lung, and Blood Institute, the National Cancer Institute, the Artificial Intelligence and Technology Collaboratories (AITC) for Aging Research program, and the National Institute of Diabetes and Digestive and Kidney Diseases. We also thank the Karen Toffler Charitable Trust, Gates Ventures, Pfizer, Johnson & Johnson Enterprise Innovation Inc., and Visterra Inc., for funding our work.

Teaching

– Machine learning (MS650)

– Guest lectures (BF831; HM817; FC713; EC500)