I am a biostatistician and physician currently working as a Postdoctoral Researcher in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania. I am affiliated with the Center for Causal Inference and the Center for Health Innovations in Reproductive and Perinatal Population Research (CHIRP).

At Penn, my postdoctoral work is mentored by Eric Tchetgen Tchetgen, Enrique Schisterman, and Ellen Caniglia. My current projects include methodological research on causal inference in complex settings and, within CHIRP, updating the SART IVF prediction models.

My interest in mathematics began with math olympiads, which I started participating in during middle school. I went on to study mathematics and medicine at the University of Sonora and later trained in internal medicine. While working on medical studies, I became increasingly interested in a question behind every clinical conclusion: How do we know the evidence is reliable?

That question led me to biostatistics. At the University of Washington, I learned to approach health research from both theoretical and applied perspectives. Today, I combine mathematical rigor, clinical context, and statistical reasoning in methodological and collaborative biomedical research.

Outside work, I enjoy running and hiking.

Antonio Olivas-Martinez at the summit of Mount St. Helens, with the crater and distant mountains behind him
At the summit of Mount St. Helens.

Training

  • PhD, Biostatistics, University of Washington, 2025
  • Internal Medicine, Universidad Nacional Autónoma de México / Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, 2019
  • Medical Degree, University of Sonora, 2014
  • BMath, Mathematics, University of Sonora, 2008

Research interests

Causal inference · Semiparametric theory · Unmeasured confounding · Proximal inference · Sensitivity analysis · Inverse problems · Flexible estimation

For publications and current projects, visit my research page, Google Scholar, or GitHub.