Shimin Shuai is an associate professor and computational biologist with nine years of experience at the intersection of cancer genomics, bioinformatics, data science and machine learning. He leads the COmics Lab at SUSTech, translating large-scale sequencing data into insights about cancer drivers and tumor ecosystems. His postdoctoral work at EMBL-EBI and EMBL involved COVID-19 host genetics and cancer ecosystem profiling, building on a PhD at the University of Toronto where he developed DriverPower, a top-performing Python tool that helped identify hundreds of cancer drivers in the PCAWG project. Comfortable bridging rigorous computational methods and biological discovery, he has a track record of uncovering non-coding driver mutations and delivering reproducible open-source software. Based in Shenzhen, he combines international collaborative experience with hands-on tool development to tackle complex genomic problems.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Molecular Genetics, Doctor of Philosophy (Ph.D.), Molecular Genetics at University of Toronto
Bachelor of Science (B.S.), Biology/Biological Sciences, General, Bachelor of Science (B.S.), Biology/Biological Sciences, General at Zhejiang University
Contributions:5 releases, 225 commits, 20 PRs in 3 years 8 months
bioinformaticsgenomics
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.