Nice to meet you!
I work at Palantir on the Hospital Ops team. I also just defended my PhD in computational genetics from Vanderbilt.
I've built software to power analysis in DNA biobanks, alternative asset markets, and more.
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This website is actively under construction. Check back later for more.
Want to get in touch? Connect with me on LinkedIn or send me an email!
Past Research
My doctoral work in the
Below Lab at Vanderbilt University involved innovation in genetic relatedness analysis.
I developed software
that leverages biobank scale genetic data to characterize
novel disease associations, build pedigrees out of genotype data, and more.
Built with: Python, Perl, PLINK, Docker
Overview: Pedigree generation software that maximizes the utility of two different kinds of genomic segment metadata: global sharing proportions from PRIMUS and segment length & distribution from ERSA.
Built with: C++, Python, SQLite
Overview: Scalable map-reduce approach to identifying IBD segment-based enrichment of binary trait disease case status in large datasets. We enable phenome-wide analysis that outperforms traditional association-based methods like GWAS.
Education
Vanderbilt University School of Medicine | Doctoral Candidate, Human Genetics
↳ 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 | Class of 2019
↳ Vice President, Table Tennis (2016-2017)
↳ Event Coordinator, Duke Medical Entrepreneurship (2016)
Publications
I have published two manuscripts as a first author, two as a supporting author, and contributed to dozens of
conference abstracts and presentations.
I additionally have two first author manuscripts under review that cover my dissertation work.
More information is available on my
Google Scholar profile.