The Geometric Machine Learning Group at Harvard University studies how to identify geometry structure in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees. We also work on applications of Geometric Machine Learning in the Sciences.
We are affiliated with the Harvard Data Science Initiative and the Kempner Institute. We are also part of the NSF AI Institute in Dynamic Systems.
Our research is supported in part by the National Science Foundation, the Sloan Foundation and the Harvard Data Science Initiative.