I am a PhD candidate in economics at the University of Notre Dame. As an applied microeconomist, my research focuses on health economics at its intersection with public economics, with a special emphasis on studying preventable causes of death. I am also a Graduate Student Affiliate at the Kellogg Institute for International Studies, and a Junior Researcher at REDNIE.
I am on the 2026/2027 job market.
You can find my CV here (also available in Spanish).
Abstract: The deadliest phase of the U.S. opioid epidemic was driven by illicitly manufactured fentanyl: annual fentanyl deaths rose from roughly 3,000 in 2013 to over 70,000 by 2022. I show that the Sinaloa Cartel played a key role in where and when this wave hit hardest. Among Mexican trafficking organizations, Sinaloa was uniquely positioned to produce and distribute fentanyl at scale, with synthetic-drug labs, precursor supply chains, and U.S. wholesale networks already built for heroin and methamphetamine. Using DEA intelligence on cartel control, I classify U.S. counties by pre-2014 Sinaloa dominance and compare them to counties dominated by rival cartels in an event-study difference-in-differences design. After 2014, fentanyl mortality in Sinaloa-dominated counties rose by 5.5 deaths per 100,000 relative to rival-dominated counties, about 30% of the overall rise in fentanyl mortality in my sample. The effect is specific to fentanyl, with no impact on non-fentanyl mortality or violent crime. The burden is concentrated among non-college-educated adults and, unlike in earlier waves, rises across all racial and ethnic groups, with the largest increase among Hispanic residents.
Average instructor rating: 4.8/5
Instructor: Spring 2024
TA: Spring 2023
Instructor: Fall 2022