Summary
Matt Desaix is a Senior Bioinformatics Scientist with eight years of experience translating messy genomic datasets into actionable insights using statistical genetics, machine learning, and reproducible software pipelines. He has a strong track record in population genetics and wildlife genomics—authoring multiple peer-reviewed papers and building tools in R, Python, Bash, and Snakemake to automate eDNA, SNP-array, and genotype-likelihood workflows. At USDA APHIS he led spatially informed sample selection and ancestry/movement inference for wildlife, and now applies that expertise to product-focused genomics at CURIO Genomics. Comfortable bridging field ecology and computational methods, he pairs rigorous simulation and model validation with practical pipeline engineering. Outside the lab he’s an avid climber and skier in Colorado, which feeds his appetite for tackling complex, real-world data challenges.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Biology/Biological Sciences, General, Doctor of Philosophy - PhD, Biology/Biological Sciences, General at Colorado State University
Master of Science - MS, Environmental Studies, Master of Science - MS, Environmental Studies at Virginia Commonwealth University
Bachelor of Science - BS, Environmental Studies, Bachelor of Science - BS, Environmental Studies at Warren Wilson College