I am a PhD candidate in Biostatistics at the University of Washington, with a background in Mathematics (University of Sonora) and Internal Medicine (INCMNSZ/UNAM). Under the supervision of Dr. Andrea Rotnitzky, my dissertation primarily focuses on developing methods for estimating causal effects of continuous exposures in the presence of unmeasured confounding, with applications to identifying correlates of protection in vaccine trials. This work aims to identify immune markers that reliably predict vaccine efficacy, enhancing trial design and vaccine effectiveness assessment. As part of my dissertation, I also developed, in collaboration with Dr. Holly Janes, a framework for non-inferiority assessment in the context of active-controlled trials.

Beyond my dissertation, I have contributed to several research projects, including:

• Individual-Patient-Data Meta-Analysis: Assessing the benefits of cardiac resynchronization therapy in patients with heart failure (with Dr. Lurdes Inoue).
• Cancer Screening: Investigating bias in test sensitivity estimates (with Dr. Ruth Etzioni).

I also collaborate with the INCMNSZ on research related to COVID-19, HIV/AIDS, antimicrobial resistance, cancer, and gastrointestinal diseases. Additionally, I am a member of Mexicans in Statistics and Health, a group dedicated to making complex scientific topics accessible to a broader audience.

My research interests include causal inference, machine learning, clinical trials, and cancer screening, focusing on advancing statistical methods to improve health outcomes.