Huidong Chen
Staff Data Scientist - Machine Learning
Greater Boston United States
Summary
🤩
Rockstar🎓
Top SchoolHuidong Chen is a Staff Data Scientist specializing in machine learning with nine years of experience applying computational biology and deep learning across biotech and academic settings. Currently at Valo Health after senior roles at Morphic Therapeutic and research positions at Broad Institute, Mass General Hospital, and Harvard Medical School, he bridges cutting-edge ML research with translational drug-discovery problems. He holds a PhD in Computer Science from Tongji University and advanced computational biology training from Harvard, combining strong statistical rigor with practical model deployment. An active contributor to bioinformatics packaging (notably helping maintain conda recipes in the widely used bioconda channel), he brings DevOps-aware reproducibility to ML workflows. Known for taking models from postdoc prototypes to production-ready solutions, he thrives at the intersection of genomics, tooling, and scalable ML.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Tongji UniversityComputational Biology, Computational Biology at Harvard Medical SchoolComputational Biology, Computational Biology at Harvard T.H. Chan School of Public Health
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
bioinformatics10
bash10
conda10
package-management10
github-ci8
githubaction-workflow8
python6
Programming languages (6)
Github contributions (5)
bioconda/bioconda-recipes
Sep 2018 - Jan 2022
Conda recipes for the bioconda channel.
Role in this project:
DevOps Engineer
DevOps EngineerContributions:50 commits, 103 PRs, 39 pushes in 3 years 4 months
Contributions summary:Huidong primarily contributed to building and maintaining conda recipes for bioinformatics tools. Their work involved adding new recipes for packages like `r-nabor`, `bioconductor-chromvar`, and `stream_atac`, and updating existing ones. The commits show the user modifying build scripts, specifying dependencies, and handling package installations. They also focused on updating versions and rebuilding existing recipes, indicating a role in the build and release processes for the bioconda channel.
recipescondabiocondabioinformaticspackage-management
pinellolab/STREAM2
Jan 2021 - Aug 2022
STREAM2: Fast, scalable, and interactive trajectory analysis of single-cell omics data
Contributions:4 reviews, 75 commits, 16 PRs in 1 year 7 months
scalablestream2omicsbioinformaticstrajectory
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