Matthew Levine

Matthew Levine

Graduate Student in Computing + Mathematical Sciences

Advised by Andrew Stuart

California Institute of Technology

About me

Welcome! I am a graduate student in computing and mathematical sciences at Caltech. My work focuses on improving the prediction and inference of 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.

Interests

  • Dynamical Systems
  • Machine Learning
  • Data Assimilation

Education

  • BA in Biophysics, 2015

    Columbia University

Recent Publications

Using Data Assimilation of Mechanistic Models to Estimate Glucose and Insulin Metabolism
Enabling Personalized Decision Support with Patient-Generated Data and Attributable Components
A Simple Modeling Framework For Prediction In The Human Glucose-Insulin System

Experience

 
 
 
 
 

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