Summary
William Alexander is a data engineer and computational biologist with a decade of experience building data pipelines, cloud infrastructure, and multi-omic analysis workflows for proteomics and transcriptomics. With an M.S. in Computer Science from Tufts and a background at Dana‑Farber and Kernal Biologics, he blends AI-trained software skills with deep domain expertise in LC‑MS proteomics (DDA/DIA), PTM detection, and RNA‑seq. He has authored tools and papers used by mass‑spec researchers and has a track record of turning complex biological measurement problems into reproducible analytics and visualizations. Now applying those skills beyond the bench, he currently drives production fare-data platforms at MBTA while remaining available for bioinformatics and data‑science consulting. An early habit of combining liberal-arts curiosity with rigorous engineering explains his ability to translate wet‑lab questions into scalable, auditable computational solutions.
10 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.), Computer science, Master of Science (M.S.), Computer science at Tufts University
B.A. of Liberal Arts, Computer Science and Biology, B.A. of Liberal Arts, Computer Science and Biology at Bennington College