Political Scientist and Applied Methodologist
Harvard University
“No monopolices tus conocimientos ni impongas arrogantemente tus técnicas...pero difunde y comparte lo que has aprendido junto con la gente, de manera que sea totalmente comprensible e incluso literario y agradable, porque la ciencia no debería ser necesariamente un misterio ni un monopolio de expertos e intelectuales” – Orlando Fals Borda (1995)
I am an Applied Research Statistician at Harvard Law School (HLS) and a Data Architect for the Everyday Respect Project at the University of Southern California (USC). At HLS, I provide empirical and computational research support across the Law School, consulting on the full lifecycle of quantitative and computational legal and policy research. At Everyday Respect, I serve as the data infrastructure lead for a large multidisciplinary team, working directly with computer scientists to design, maintain, and document the systems that store and manage the project's multimodal data.
I received my Ph.D. in Political Science and International Relations from USC, where I was a Graduate Research Associate in both the Democracy and Fair Elections Lab and the Security and Political Economy (SPEC) Lab. I also hold a Master of Public Policy from USC's Sol Price School of Public Policy, where I focused on Applied Econometrics.
Substantively, my research asks how formal institutions and informal power structures jointly determine who has political voice, and at what cost. My work spans four connected areas: (1) racial and gendered inequality in elite institutions; (2) electoral systems and institutional design; (3) bureaucracy, implementation, and accountability; and (4) political representation and racialized identity. Some of my solo and collaborative work has been published in the Journal of Race, Ethnicity, and Politics (JREP), the Journal of Experimental Political Science (JEPS), and Public Health, with forthcoming work at the Association for Computational Linguistics (ACL 2026). You can find more on these and other ongoing projects on the Research page.
I am also the creator of TextViz Studio, a no-code platform for social scientists that makes advanced text analysis and statistical modeling more accessible, intuitive, and interactive.
Previously, I served as a Research Analyst at the Stanford Graduate School of Business's (GSB) Center for Entrepreneurial Studies (CES). Before that, I was a Survey Statistician at USC's Federal Statistical Research Data Center (FSRDC), a U.S. Census Bureau research branch.
Outside of academia, I enjoy studying languages, traveling, and amateur photography, some of which you can see in the Photography section.