About¶
I am an Associate Professor in the Department of Biology at Texas A&M University and lead the Aramayo Lab. I am a molecular geneticist and computational biologist working at the intersection of protein language model evaluation, genomics, and reproducible research software.
My work connects experiments, data, and interpretation. I draw on molecular genetics to frame biological questions, computational genomics to investigate them at scale, and reproducible software to make the analysis inspectable. Working across these areas helps me recognize when a promising computational result needs a better control, a different baseline, or an experiment.
My current MutScan program asks what protein language model scores contain, which signals they share with classical evolutionary methods, and where gene-specific evidence is still required. This continues a broader interest in how sequence variation, genome organization, and RNA biology influence function.
Scientific trajectory¶
Experimental molecular genetics
Gene regulation, genome engineering, fungal genetics, epigenetics, RNA biology, and meiotic silencing.
Computational genomics
NGS, genome and transcriptome assembly, annotation, comparative genomics, transcriptomics, HPC, and cloud workflows.
Biology-grounded AI
Protein model auditing, variant evidence, statistical design, failure analysis, deterministic execution, and provenance.
Faculty and laboratory leadership¶
At Texas A&M, I lead an interdisciplinary research and teaching program spanning molecular genetics, computational genomics, and protein model evaluation; I previously directed the Laboratory for Computational Genomics. Current graduate and former undergraduate researchers contribute work across comparative proteomics, protein dynamics, circadian genomics, isoform evolution, public-data quality, and primate protein conservation. I have developed and taught courses in genomics, computational genomics, digital biology, genetics, molecular cell biology, and epigenetics, and have mentored postdoctoral, graduate, and undergraduate researchers.
My industry and government experience includes an advisory-board role with F2G and consulting for several biotechnology companies in the areas of Molecular Biology, and Fungal Genetics.
I welcome academic and cross-sector collaborations, sponsored projects, and selected scientific advisory engagements in which biological judgment, quantitative model evaluation, and software correctness all matter.