Bio

I am a PhD Candidate at the NYU Center for Data Science advised by Julia Stoyanovich as part of the Center for Responsible AI and working closely with Joshua Loftus at the London School of Economics. My research focuses on the intersection between responsible data science, causal inference, and inequality – looking at statistical aspects of inequality problems, the modeling of social categories like race and gender, and techniques that can aid in the responsible and transparent use and analysis of data.

My research is generously supported by the Microsoft Research PhD Fellowship.

Education

New York University, Center for Data Science | New York, NY

     Ph.D. in Data Science | August 2020 - Present

Harvey Mudd College | Claremont, CA

     B.S. in Data Science | August 2014 - May 2018

Experience

Pacific Northwest National Laboratory | Research Associate | July 2018 - July 2020

Civis Analytics | Software Engineering Intern | Summer 2017

Institute for Pure and Applied Mathematics, UCLA | Student Researcher, Team Lead | Summer 2016