I’m a data scientist and R developer with a background in computational social science. My work focuses on causal inference in observational settings, with application to criminal justice and gun violence. I have a longstanding interest in sports analytics and developing data science tools.

 

Education

Nuffield College, University of Oxford
PhD in Sociology

  • Research Areas: Computational Social Science, Statistical Inference on Networks, Gun Violence
  • Funded by Economic and Social Research Council

2017

St Cross College, University of Oxford
MSc in Sociology

2012

University of Sheffield
BA in Sociology with First-Class Honours

2011

Experience

New York University
Moore-Sloan Faculty Fellow, Center for Data Science

2020–present

Northwestern University
Postdoctoral Fellow, Institute for Policy Research

2019–2020

Yale University
Postdoctoral Associate, Institution for Social and Policy Studies

2017–2019

Teaching

New York University

DS-GA 1017 and DS-UA 202 Responsible Data Science

  • Technical course that covers data quality, algorithmic fairness, transparency of data and algorithms, ethics, privacy, and data protection.
  • Find out more about the course here.

2021, 2022

DS-UA 111 Data Science for Everyone

  • Flagship course at the Center for Data Science.
  • Designed for students without prior statistics or programming experience.

2021, 2022

Programming

Languages

Tools

Frameworks

Practices

R, Python, SQL

Git, GitHub Actions, Docker

Shiny, Quarto, BigQuery

Automated workflows, CI/CD, version control, unit testing, packaging, parallel programming