I specialize in statistical methods for estimating dynamic causal effects, with focus on decomposability. I apply these methods to a wide range of treatment settings including democratization, natural disasters, and other electorally relevant phenomena. I publish and maintain open source software.
I also have a specific policy interest in nuclear energy and occasionally field surveys to gauge public opinion on the nuclear energy permitting processes.
With Matt Estes, I quantify the relationship between legal academia and legal practicioners by employing natural language processing tools in legal text data spanning the last decades.
Accepted Papers
didunit: a unit-level multi-period differences-in-differences estimator in R
with Jonathan N. Katz and R. Michael Alvarez
published at SoftwareX
Threat of China’s nuclear dominance boosts Americans’ support for nuclear energy with Beatrice Magistro and R. Michael Alvarez
accepted at Energy Policy
Courting the Academy: The Judicial Role in Popularizing Legal Scholarship with Matthew Estes
accepted at Kansas Journal of Law and Public Policy
Working Papers
Saturation dangers in multi-decade democracy studies with Jonathan N. Katz
Schooling amidst displacement from California fires: bright spots and blind spots with R. Michael Alvarez
Finding Natural Law: An empirical examination with Matthew Estes
Education
California Institute of Technology | PhD Social Science | 2021-
University of Queensland | BEcon (Honours) | 2015-2018