PhD Candidate · Department of Statistics · UC Berkeley

Arisa Sadeghpour

About

I am a PhD Candidate in the Department of Statistics at UC Berkeley, where I am fortunate to be advised by Erin Hartman. Motivated by questions in the social sciences, my research develops causal inference methods for settings with complex data, such as textual treatments and spatial experiments.

Research
Isolating the Effects of Multiple Focal Treatments within Textual Treatments
Arisa Sadeghpour
Inference with weights: Residualization produces short, valid intervals for varying estimands and varying resampling processes
Erin Hartman, Chad Hazlett, & Arisa Sadeghpour
Outcome Modeling in Design-Based Inference for Spatial Settings
Arisa Sadeghpour & Erin Hartman
Vote Centers and the Voter Experience
Cynthia Chen, Arisa Sadeghpour, & Matt Lamb (2021) · American Politics Research, 49(6), 591–603
Teaching
STAT 156/256 Causal Inference Fall 2025
PS 236B Quantitative Methods in the Social Sciences Spring 2025