Summary
Matan Retwitzer is a computational biologist and engineer with a PhD in computer science and roughly 15 years of cross-disciplinary experience building scalable cloud infrastructure, custom algorithms, and data platforms for biotech. He has driven computational strategy from assay design through IND readiness—leading the growth of a single-person function into a 13-person data organization and contributing directly to Mammoth’s first candidate drug. His hands-on skillset spans RNA biochemistry and wet-lab validation, custom NGS algorithms for Nanopore and Illumina, AWS/Terraform infrastructure, ETL/DBT pipelines, and full-stack web tools that accelerate R&D workflows. Comfortable toggling between technical leadership and individual contribution, he favors direct scientific debate and pragmatic, long-term solutions that make teams more effective. Based in Brisbane, CA, he combines startup momentum with deep domain fluency, uniquely positioning him to shorten the path from experimental data to therapeutic decision-making.
10 years of coding experience
5 years of employment as a software developer
High school diploma Aleh biology and computer science, High school diploma Aleh biology and computer science at Lod high school of science
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Ben-Gurion University of the Negev