About me

Welcome! I am a Postdoctoral Fellow at the Broad Institute of MIT/Harvard in the Eric and Wendy Schmidt Center. My work focuses on improving the prediction and inference of biological and physical systems by blending machine learning, mechanistic modeling, and data assimilation techniques. I aim to build robust, unifying theory for these approaches, as well as develop concrete applications. I have worked substantially in the biomedical sciences, and enjoy collaborating on impactful applied projects.

I am always interested in developing new collaborations. If you think our work is complementary, please send me a message!



  • Dynamical Systems
  • Machine Learning
  • Data Assimilation
  • Biomedicine


  • PhD in Computing + Mathematical Sciences, 2023


  • BA in Biophysics, 2015

    Columbia University

Recent Publications

Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates
Real-Time Electronic Health Record Mortality Prediction during the COVID-19 Pandemic: A Prospective Cohort Study
Using Data Assimilation of Mechanistic Models to Estimate Glucose and Insulin Metabolism



PhD Student

Computing + Mathematical Sciences, California Institute of Technology

Sep 2018 – Present Pasadena, CA
Advised by Professor Andrew Stuart

Research Associate

Biomedical Informatics, Columbia University Medical Center

Jul 2015 – Jul 2018 New York, NY
Supervised by Professors David Albers, George Hripcsak, and Lena Mamykina