Kai Cooper

contact. kaicoop [at] wharton [dot] upenn [dot] edu

scotland_prof_pic.jpeg

Huntsman Hall, 5th Floor

3730 Walnut Street

Philadelphia, PA 19104

Bienvenue! I’m Kai — a PhD student in the Operations, Information and Decisions Department at the Wharton School of the University of Pennsylvania, and an affiliate of the Centre for Causal Inference at Penn Biostat. I am very fortunate to be advised by Dean Knox.

I study causal inference in theory and application. My research broadly follows two streams: (i) developing (algorithmic) partial identification strategies which permit causal inferences in challenging data environments; (ii) applying modern causal inference techniques to investigate fairness in social and institutional settings, e.g. police enforcement and education.

I grew up in Birmingham, UK (but support Arsenal FC). Before joining Penn, I obtained a master’s degree in mathematics from Imperial College London, during which I was grateful to spend a year studying abroad at the École polytechnique fédérale de Lausanne in Switzerland.

When not in the office, you’ll find me: at the cinema, playing football or badminton, or reading or watching some dystopian science-fiction.

news

Apr 18, 2025 My work “Using Causal Inference to Unmask Racial Discrimination in Traffic Enforcement via Proxies” has been accepted for a PARALLEL TALK at the International Computational Social Science Conference (IC2S2) 2025 in Norrkoping, Sweden!
Apr 11, 2025 My poster: “Using Causal Inference to Unmask Racial Discrimination in Traffic Enforcement via Proxies” has been accepted for presentation at ACIC 2025 in Detroit!
Apr 02, 2025 My contributed submission “Quantifying Causal Effects via Temporal Regression Discontinuity Designs with Time-Varying Effects” has been accepted for a 15-minute presentation at the Joint Statistical Meetings 2025 in Nashville, TN!