I am a Data Science Initiative Postdoctoral Fellow at Harvard University and a Visiting Assistant Professor at Brown University. I am affiliated with the School of Engineering and Applied Sciences (SEAS/Computer Science) at Harvard, and I am affiliated with the Data Science Initiative (DSI) and Department of Earth, Environmental and Planetary Sciences (DEEPS) at Brown.

My research interest is in scientific machine learning (SciML). My past work has focused on machine learning for pattern recognition and discovery in large, noisy sensor data sets, with applications in earthquake seismology and biodefense.

I earned my Ph.D in Computational and Mathematical Engineering at Stanford University, where I was advised by Greg Beroza, Professor of Geophysics. Prior to starting my graduate studies, I worked as a research data scientist in the Biodefense Systems group at MIT-Lincoln Laboratory. I hold a B.Sc. in Applied Mathematics from Brown University and a M.S. in Computational and Mathematical Engineering from Stanford University.

I am also passionate about data science education and diversity and inclusion in data science. I have taught a number of courses and workshops that aim to make data science accessible to students and professionals from a range of disciplinary backgrounds.

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