Harvard University, Cambridge MA
PhD, Systems, Synthetic & Quantitative Biology (SSQB)
Thesis: Generative Evolutionary Models for Variant Effect Prediction
Advisor: Debora Marks

Clemson University, Clemson SC
BS, Computer Science · Minor Genetics · Magna Cum Laude · Honors College

Google DeepMind, London UK
Research Engineer — 9-month visit to the Genomics Team within the Science Unit

Debora Marks Lab, Harvard, Cambridge MA
PhD Candidate — Clinical variant effect prediction, therapeutic design, DNA/RNA language modeling, generative sequence models, protein language models

CRISPR Therapeutics, Boston MA
Bioinformatics Engineer — GACT Computational Biology Team. Analyzed high-throughput CRISPR screens; tech lead for Novaseq/UMI deduplication pipeline; refactored CIRCLEseq off-target detection pipeline

Zymergen, San Francisco CA
Bioinformatics Engineer — Genome assembly/annotation pipelines at scale; dockerized bioinformatics tools; co-developed WGS variant pipeline; inaugural Scrum Master for Genome Analysis team

Ancestry, Lehi UT / San Francisco CA
Software Developer Intern — Full stack web development; built video upload service with Spring Boot/AWS S3; rewrote full stack app from C# to Java

Feltus & Smith Labs, Clemson, Clemson SC
Bioinformatics / ML Researcher — NGS workflow development; deep learning for cancer tumor classification from RNAseq; co-first author publication in Nature Scientific Reports

Conant Lab, NSF REU, Missouri
Bioinformatics REU Student — Metabolic network analysis for sheep feed efficiency; resulted in publication in Journal of Animal Science