Bio

I am driven by work that makes patient care more timely and precise. I partner with clinical and research teams to design analytic cohorts from EHR, registry, biobank, and multiomic data, match methods to the question, and build reproducible pipelines that turn real-world healthcare data into decisions. My work spans survival and longitudinal modeling, causal inference, target trial emulation, and Bayesian approaches.

Current Role at Stanford

Biostatistician, Summer Han Lab | Quantitative Sciences Unit, Department of Computational Medicine

Education & Certifications

  • MS, New York University, Applied Statistics (2025)
  • BA, University of Pennsylvania, Physics (2022)