Biography

As an undergraduate studying Computational Biology and Biochemistry/Biophysics at Rensselaer Polytechnic Institute, I became fascinated by how data can reveal patterns behind complex biological systems. Applying computation to biology demonstrated how quantitative approaches can transform data into insight for human health.
During my PhD in Pharmacology, I seek to map missense variation in G protein-coupled receptors (GPCRs) to improve drug response prediction and personalize treatment across diverse populations. GPCRs are among the most clinically important drug targets, yet genetic variation within them remains underutilized in therapeutic design. By integrating computational modeling with pharmacological data, my goal is to advance precision medicine approaches that are both effective and equitable.
With the support of Gates Cambridge, I will advance GPCR-based precision therapeutics, and work toward a world where every patient has access to care that is not only available but also personal, precise, and just.

Previous Education

Rensselaer Polytechnic Institute Computational Biology, Biochem 2026