Marzyeh Ghassemi’s research goal is to create novel machine learning approaches that can be used to improve healthcare delivery, understand what it means to be healthy, and quantify the impact of possible interventions.
Many of the most interesting technical questions in machine learning are inspired by real use cases, and the explosion of clinical data provides an exciting new set of challenges. Ghassemi’s work explores the frontiers of causality, time series analysis and representation learning in this effort. The overall goal of her group is to learn “healthy” models of human health.
2008 British Marshall Scholar
2018 MIT TechReview “35 Innovators Under 35”
2018 Canada CIFAR AI Chair
2019 Canada Research Chair in Machine Learning for Health, Natural Sciences and Engineering Research Council (NSERC)