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Ph.D. in Biomedical Data Science

• Advised by Rob Tibshirani.

B.S. in Statistics and B.A. in Economics

• Phi Beta Kappa, awarded on the basis of excellence of study across the liberal arts and sciences
• Dean's list (multiple quarters)

Research Intern

ML Researcher

• Created game theoretic and ML algorithms using Shapley value as a variant-disease association method and implemented on whole genome sequencing data to identify novel candidate genes for autism.

Data Scientist

• Designed and deployed machine learning tools to optimize lab workflows and monitor lab errors.

Teaching Assistant

• I was a graduate teaching assistant for the course BIOMEDIN 215, Data Science for Medicine taught by Professor Nigam Shah. I held office hours and graded coursework for over 60 undergraduate, graduate, and medical students. I also created and gave a lecture on the fundamentals of supervised learning and building predictive models.

Technical Mentor

• I mentored 3 statistics and data science graduate student fellows on a research project on COVID-19 excess mortality estimation. The program aims to train future researchers to tackle data science projects with social impact. I also created and lectured on commandline / BASH for the Data Science fellows.

Teaching Assistant

• I was a graduate teaching assistant for the course BIOMEDIN 217, Translational Bioinformatics taught by Professor Dennis Wall. I held office hours, graded coursework, and facilitated course discussion for over 80 undergraduate and graduate students. This course is part of the core curriculum in the Biomedical Data Science program at Stanford University.