Summary
Benjamin Garcia is a computational biology researcher with 11 years of experience developing scalable, multi-omic methodology and pipelines across human, plant, mouse, and microbial systems. He has bridged wet-lab and computational teams at institutions like Mass General Brigham, Broad Institute, Oak Ridge, and MIT to integrate imaging, sequencing, and clinical data for disease and microbiome discovery. His work spans high-throughput microscopy, mass spec imaging, metagenomics, and active-learning experiments, and he has built parallel k-mer and viral classification pipelines that processed billions of reads and hundreds of thousands of taxa. Benjamin is comfortable translating complex biological questions into production-ready analytical tools and cross-linking laboratory and web-based resources to accelerate assay development and drug-efficacy studies. Based in Greater Boston, he pairs a PhD in Computational Bioscience with practical engineering chops and a track record of uncovering nonobvious viral and longitudinal drug–drug interaction signals in large cohorts.
11 years of coding experience
8 years of employment as a software developer
Johns Hopkins University
BS Environmental Engineering, BS Environmental Engineering at Oregon State University
PhD Computational Bioscience, PhD Computational Bioscience at University of Colorado Anschutz
MS Computer Science, MS Computer Science at University of Colorado Colorado Springs