Li Song
Assistant Professor at Geisel School of Medicine at Dartmouth
Lebanon, New Hampshire, United States
Summary
👤
Senior🎓
Top SchoolLi Song is an Assistant Professor of Biomedical Data Science at Dartmouth with 12 years of experience designing algorithms and developing bioinformatics methods for sequencing data. Trained in computer science and applied mathematics with degrees from Tongji, Michigan Technological University, and Johns Hopkins, he bridges rigorous computational theory with practical lab-focused problems from his roles at Johns Hopkins and Dana-Farber. His work spans algorithm development, method implementation, and platform-aware engineering—evidenced by contributions to the widely used bioconda-recipes repository, including ARM64 support and packaging for tools like TRUST4 and Chromap. Li combines academic research with hands-on software craftsmanship to deliver reproducible, portable bioinformatics tools that accelerate large-scale sequencing analyses.
12 years of coding experience
6 years of employment as a software developer
Ph.D, Computer Science, Ph.D, Computer Science at Michigan Technological UniversityBachelor of Engineering (BEng), Computer Science, Bachelor of Engineering (BEng), Computer Science at Tongji UniversityJohns Hopkins UniversityChengdu No.7 Middle School
Github Skills (11)
bioinformatics10
bash10
conda10
package-management10
build-automation9
makefile9
gnu-make9
arm8
rights-management7
key-management7
licensing7
Programming languages (7)
Github contributions (5)
bioconda/bioconda-recipes
Jan 2021 - Nov 2022
Conda recipes for the bioconda channel.
Role in this project:
Backend Developer
Backend DeveloperContributions:4 reviews, 5 commits, 13 PRs in 1 year 10 months
Contributions summary:Li contributed to the bioconda-recipes repository by adding and updating recipes for bioinformatics tools. Their work involved modifying build scripts, updating meta information, and integrating new software packages like psiclass, TRUST4, T1K, and Centrifuger-quant. They addressed dependencies by removing requirements and adapting build processes. The user also added support for ARM64 architecture to Chromap, indicating an awareness of platform-specific optimizations.
biocondacondabioinformaticspackage-management
liulab-dfci/TRUST4
Dec 2018 - Jan 2023
TCR and BCR assembly from RNA-seq data
Contributions:35 releases, 424 commits, 43 PRs in 4 years 2 months
rna-seq
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