I hold a PhD in Political Science from Stanford University. My research and work use modern causal inference, algorithmic and data science solutions to study questions about human behaviour. In my data science roles, I solve business problems around human behaviour and engagement in marketplaces and recommendation systems; my academic research applies and extends quantitative methodology to questions in political economy.

I currently work as a Senior Data Scientist at Netflix, where I use state-of-the-art causal inference and statistical methods to support business decisions, consumer insights, product rollouts and improve consumer experiences. Previously, I worked as a Senior Data Scientist at Deliveroo and Applied Scientist PhD Intern at Uber. All views and opinions expressed on this website are my own.

My work has been published in the Journal of Politics, Science Advances and other journals. I work(ed) with Gary Cox, Jens Hainmueller, Andy Hall, and Andy Eggers. During my time at Stanford, I was also a Graduate Student Affiliate at the Democracy and Polarization Lab and repeatedly served as TA for classes in quantitative methodology and comparative politics.

Prior to Stanford, I was a DPhil Student at Oxford University (Nuffield College). I hold a first-class honours BA in Philosophy, Politics, and Economics (PPE) from Warwick University, and a MSc in Politics Research (with distinction) from the University of Oxford (St. Cross College).

You can find my CV here.

Research

Peer-Reviewed Publications

1. The Gender Gap in Political Careers Under Proportional Representation.
   Forthcoming, Journal of Politics. [code + data]

2. Are Dead People Voting By Mail? Evidence From Washington State Administrative Records.
   with Jennifer A. Wu, Chenoa Yorgason, Cassandra Handan-Nader, Andrew Myers, Daniel M. Thompson, and Andrew B. Hall.
   Forthcoming, Election Law Journal.

3. Susceptibility to Strategic Voting: A Comparison of Plurality and Instant-Runoff Elections.
   with Andy Eggers.
   2024, Journal of Politics 86(2). [code + data]

4. The Emergence of Party-Based Political Careers in the UK, 1801-1918
   with Gary Cox.
   2023, Journal of Politics 85(1). [code + data]

5. How Did Absentee Voting Affect the 2020 U.S. Election?
   with Jesse Yoder, Cassandra Handan-Nader, Andrew Myers, Daniel M. Thompson, Jennifer A. Wu, Chenoa Yorgason, and Andrew B. Hall.
   2021, Science Advances 7(52). [code + data] WSJ coverage

Working Papers

5. How Much Do Elections Increase Police Responsiveness? Evidence From Elected Police Commissioners.
   with Daniel M. Thompson.
   

6. Effect Heterogeneity and Causal Attribution in Regression Discontinuity Designs: Introducing the Moderation-in-Discontinuities Framework
   with Kirk Bansak. old WP version
   

In Progress

• Do Presidential Systems Impede Growth? Evidence from Local Governments in the United States (with Carl Gustafson, Dan Thompson and Andrew B. Hall).

• Causes and Consequences Of Nonpartisans in Local Government: Evidence from Poland.

• Does Proportional Representation Lead To Wealthier Politicians? Evidence from Regression Discontinuity Designs.

• Interleaving Estimators To Evaluate Ranking Preferences Over Disjoint and Intersecting Sets

Teaching

Teaching Materials

Stanford (Lectures)

• 450X: Programming for Political Scientists (2019-20).

Stanford (TA for Graduate Classes)

• Stanford PoliSci Math Camp (2020-21, 2021-22).
• 450A: Political Methodology I: Regression. (2020-21, 2021-22)
• 450B: Political Methodology II: Causal Inference. (2020-21)
• 450C: Political Methodology III: Model-based Inference. (2019-20)

Stanford (TA for Undergraduate Classes)

• 141A: Immigration and Multiculturalism (2021-22)

Warwick

• QS104: Quantitative Methods I (2017).