Biography

I am a data scientist at the University of Chicago’s Crime Lab New York and Center for Applied AI, working on projects for Jens Ludwig and Sendhil Mullainathan that use machine learning to tackle difficult public policy problems and understand human decision-making. In my own work, I am drawn to the problems that affect cities, with specific interests in how institutional and environmental changes in cities impact crime, education, and inequality.

Interests

  • Urban Policy
  • Machine Learning
  • Causal Inference
  • Behavioral Economics

Education

  • BA in Math/Statistics, 2018

    Carleton College

Publications

Teaching Experience

Carleton College: Introduction to Statistics (Math 215)

TA: Winter 2017

Carleton College: Applied Regression Analysis (Math 245)

TA: Spring 2017

Code in Place: Introduction to Computer Science

Section Leader: Summer 2020

Contact