I am an assistant professor of Data Science and Earth, Environmental and Planetary Sciences at Brown University. My past work has focused on machine learning for pattern recognition and discovery in large, complex sensor data sets, with applications to earthquake detection. My research interest is in scientific machine learning, including knowledge-guided and interpretable learning for the physical sciences. My current research is focused on machine learning-based surrogate models, ML-based data enhancement/downscaling, XAI for geospatial data and scientific foundation models.

I received my Sc.B. in Applied Mathematics from Brown University and my M.Sc. and Ph.D. in Computational and Mathematical Engineering from Stanford University. I did my postdoctoral training at Harvard University, and I previously worked as a staff data scientist at MIT Lincoln Laboratory.