Wei Li
North Bethesda, Maryland, United States
Summary
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RockstarWei Li is an associate professor and computational biologist with 14 years of experience designing algorithms at the intersection of AI, gene editing, and next-generation sequencing for pediatric disease and cancer. He developed widely adopted CRISPR screening analysis tools (100k+ downloads, ~2000 citations) and builds machine learning/deep learning models for Cas9/Cas13 and base editors, as well as RNA-seq assembly methods. His work spans method development and close wet-lab collaboration to elucidate functions of genes and noncoding elements in cancer, viral infection, and pediatric disorders. Trained as a computer scientist (Ph.D., UC Riverside) with postdoctoral and research fellowships at Harvard and Dana-Farber, he blends rigorous algorithmic design with practical translational impact in clinical genomics. An uncommon strength is his track record of shipping both foundational open-source tools and predictive models that are routinely used by experimentalists.
15 years of coding experience
Github Skills (11)
rna-seq10
bioinformatics10
databases10
conda10
package-management10
bioconda10
database10
bioconductor9
seq9
gpt4
transformer3
Programming languages (5)
Github contributions (5)
weili-lab/scMAGeCK
Oct 2021 - Jan 2023
The R Bioconductor package for scMAGeCK.
Contributions:22 commits, 1 PR, 41 pushes in 1 year 3 months
bioconductor
davidliwei/mageck2-demo
Dec 2021 - Jun 2026
Contributions:1 release, 9 pushes, 1 branch in 4 years 7 months
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