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