Work Experience

 
 
 
 
 
Broad Intitute of MIT and Harvard
Eric and Wendy Schmidt Postdoctoral Associate
October 2023 – Present Cambridge, Massachusetts
Working to solve causality-related problems in biological data.
 
 
 
 
 
Amazon Science Causality Lab (AWS)
Applied Scientist Intern
Amazon Science Causality Lab (AWS)
September 2022 – February 2022 Tübingen, Germany
Paper submission to UAI 2023 on robustness to distribution shift using proxy variables. Worked with Dr. Mila Hardt, Dr. Atalanti Mastakouri, and Dr. Dominik Janzing.
 
 
 
 
 
BioDiscovery
Machine Learning Intern
BioDiscovery
June 2017 – September 2017 El Segundo, California
Cancer classification using machine learning. Worked with Dr. Soheil Shams.
 
 
 
 
 
IBM Research
Research Intern
IBM Research
June 2016 – September 2016 Yorktown Heights, New York
Factoring sum of products to optimize 2D wire layout. Worked with Dr. Victor Kravets.

Education

 
 
 
 
 
California Institute of Technology (Caltech)
PhD in Computing and Mathematical Sciences
California Institute of Technology (Caltech)
September 2017 – August 2023 Pasadena, CA
Worked with advisors Shuki Bruck and Leonard Schulman. Funded by an NSF Graduate Research Fellowship and an Amazon AI4Science fellowship.
 
 
 
 
 
University of Cambridge
Herchel Smith Fellowship
University of Cambridge
September 2016 – June 2017 Cambridge, UK
Part IB Maths with supplemental Part IA and II classes.
 
 
 
 
 
Williams College
B.A. in Physics and Computer Science
Williams College
September 2012 – June 2016 Williamstown, MA
Highest Honors in Physics, Magna Cum Laude, Phi Beta Kappa, Sigma Xi. Captain of cross country and track teams.