Nice to meet you!

I work in healthcare software transformation at Palantir.
Previously: Ph.D., computational genetics (Vanderbilt); B.S., biology (Duke).
I've built tools that power analysis in DNA biobanks, alternative asset markets, and more.

Past Research

My doctoral work in the Below Lab at Vanderbilt University was in genetic relatedness analysis.
I developed software that leverages biobank-scale genetic data to characterize novel disease associations, build pedigrees out of raw data, and more.

COMPADRE

Article

Pedigree generation software that incorporates global sharing proportions from PRIMUS and segment length & distribution from ERSA.

Built with: Python, Perl, PLINK, Docker

IBDMap

Scalable map-reduce approach to identifying IBD segment-based enrichment of binary trait disease status in large datasets.

Built with: C++, Python, R, SQLite

Genetic Data Simulator

Family genetic data simulation pipeline customizable to ancestral background, data sparsity, pedigree structure, and more.

Built with: Python, Perl, PLINK, Docker

Education

Vanderbilt University School of Medicine  | Ph.D., Human Genetics |  August 2025

  ↳ Teaching Assistant, Python (2021-2022)
  ↳ Award Recipient, Big Biomedical Data Science Training Program (2020-2021)
  ↳ Award Recipient, Dean's Award (2019-2020)

Duke University | B.S., Biology with Distinction |  May 2019

Publications

I have published four manuscripts as a first author, three as a supporting author, and contributed to dozens of conference abstracts and presentations.
More information is available on my Google Scholar profile.