Yue Jiang
Director, Head Of Machine Learning at Shape Therapeutics Inc.
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYue Jiang is a director-level machine learning leader with 10 years of experience translating genomics and biological data into production-ready ML solutions, currently heading Machine Learning at Shape Therapeutics in Los Angeles. With a Ph.D. in Genetics and Genomics and advanced training in statistics and computational biology from Duke, Yue blends deep domain expertise with pragmatic data science leadership across biotech R&D and informatics. Their career includes progressive scientific and data roles at Juno Therapeutics and an early internship at Google Life Sciences, reflecting a talent for bridging research and engineering. Known for moving models from exploratory analysis into operational pipelines, Yue brings both hands-on technical rigor and strategic oversight to accelerate therapeutic discovery. An uncommon strength is pairing wet-lab intuition with statistical modeling, enabling more biologically meaningful ML solutions.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Genetics and Genomics, Doctor of Philosophy (Ph.D.) Genetics and Genomics at Duke UniversityB.S. Biological Sciences, B.S. Biological Sciences at Peking University
English, Chinese
Github Skills (63)
dimensionality-reduction10
python10
package-management10
spatial-transcriptomics10
conda10
gene-expression10
bioinformatics10
rna-seq10
data-visualization10
random-forest10
clustering10
cran10
r9
ninja9
rio9
Programming languages (7)
Github contributions (5)
Yue-Jiang/randomForestExplainer
Jul 2019 - Dec 2021
A set of tools to understand what is happening inside a Random Forest
Contributions:2 PRs, 35 pushes, 3 branches in 2 years 5 months
random-forestmachine-learningforest
Yue-Jiang/pzfx
Jul 2018 - Aug 2022
Read and write 'Graphpad Prism' '.pzfx' files in R
Contributions:3 releases, 61 commits, 19 PRs in 4 years 1 month
r
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