I'm a bioinformatics PhD candidate at the University of Georgia, defending in Fall/Winter 2026. My dissertation is on where new genes in Populus come from . Lately much of my attention has turned to genomic foundation models , and this fall I'm also consulting part-time with the Computational Biology Consulting Group at IOB.

One question I keep returning to: these models post strong benchmark numbers, but what are they actually reading? You can rewrite a gene so the protein and the codon composition are both untouched and only the order changes. Whatever survives that is the part worth arguing about, and it is smaller than the benchmarks suggest.

Five peer-reviewed papers, mostly in plant genomics. I am looking for computational biology and ML research roles beginning Fall 2026, particularly the evaluation and interpretation of models over biological sequence data. My resume is here , and I am always glad to hear from you by email .

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A few things people ask

When do you graduate?

December 2026, and I can start work from Fall 2026.

What kind of role are you looking for?

Two, and I would rather be plain about both. Primarily computational biology and ML research — the evaluation and interpretation of models over biological sequence data. I am also preparing for management consulting, which the case training and the PhD Consulting Club role were for. The consulting page covers both.

Is the foundation-model work published?

Not yet. It was submitted to a workshop in August 2026 and is under review. Until that clears, the numbers on that page are our internal results, not peer-reviewed findings.

What is CBCG?

The Computational Biology Consulting Group at the UGA Institute of Bioinformatics, led by Dr. Casey Bergman. It helps labs with computational problems they'd otherwise improvise. More on the consulting page .

Can I use your code?

Yes. The research tooling is on GitHub , and some of it is on PyPI. If something is broken or undocumented, let me know and I'll see to it.

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