Summary
Richard Tourdot is a Senior Computational Biologist with 10 years of interdisciplinary experience applying machine learning and advanced sequencing technologies to cancer biology and patient-focused biomarker discovery. He has developed novel computational methods for whole-chromosome haplotyping and integrated HiC, 10X, and Nanopore data to resolve tumor genome evolution, combining single-cell sequencing, imaging, and multiomic analyses. Having worked across academia and industry—from Dana-Farber and Harvard to Ambry, Volastra, and now AstraZeneca—he bridges wet-lab collaboration with production-ready bioinformatics. Trained as a chemical engineer with a PhD from the University of Pennsylvania, he brings a physics-informed quantitative perspective to biological problems, often uncovering mechanistic insights hidden in complex genomic mosaics.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Chemical Engineering, Bachelor of Science (B.S.), Chemical Engineering at University of Minnesota
Doctor of Philosophy (PhD), Chemical and Biomolecular Engineering, Doctor of Philosophy (PhD), Chemical and Biomolecular Engineering at University of Pennsylvania
English