AI-based structure prediction
Using AlphaFold, Boltz, and ESMFold to generate biomolecular structure hypotheses that feed into molecular dynamics simulations.
Genetics PhD candidate at LSU Health Sciences Center, working in computational bioinformatics.
I build research workflows at the intersection of molecular biology and computation—from AI-based protein structure prediction and molecular dynamics to targeted Oxford Nanopore sequencing.
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My research pairs modern prediction models with reproducible analysis pipelines—moving from sequence and structure to simulation, interpretation, and testable biological insight.
Using AlphaFold, Boltz, and ESMFold to generate biomolecular structure hypotheses that feed into molecular dynamics simulations.
Developing analyses for targeted transcriptome and gene sequencing, with an emphasis on long reads, repeat regions, and reproducibility.
I’m interested in conversations about computational biology, bioinformatics, and research software.