Fong Chan is a senior principal bioinformatics scientist with 11 years of experience translating cancer genomics research into production-grade NGS algorithms and pipelines across academia and industry. He holds a PhD in Bioinformatics from UBC and has led teams at Achilles Therapeutics and Roche to develop scalable, validated workflows for clonal neoantigen discovery, tumor evolution tracing, and multi-omic integration. Comfortable across HPC and cloud environments, he combines statistical rigor, software engineering best practices (Docker, Nextflow, CI, unit testing) and practical immunogenomics to deliver reproducible clinical-grade analyses. He has a track record of technology transfer—from TRACERx academic pipelines to industry deployments—and mentorship of junior scientists alongside hands-on pipeline benchmarking with synthetic tumor simulations. Notably, his work emphasizes principled statistical methods for bespoke algorithm development where off-the-shelf tools fall short.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics at The University of British Columbia
Bachelor of Science (BSc), Bioinformatics, Bachelor of Science (BSc), Bioinformatics at Simon Fraser University
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