Weixuan Fu
Senior Clinical Bioinformatician
Wilmington, Delaware, United States
Summary
🤩
Rockstar🎓
Top SchoolWeixuan Fu is a Senior Clinical Bioinformatician with nine years of experience applying statistical machine learning and multi-omics analysis to advance genomic diagnostics and personalized medicine. He has built and validated clinical NGS pipelines across WGS/WES/RNAseq/cfDNA, contributed to CAP/CLIA-compliant workflows at leading pediatric and academic institutions, and currently supports precision diagnostics at Cedars-Sinai. His background includes developing influential AutoML tools (notably contributions to TPOT and extensions) and practical ML applications such as DNA methylation–based CNS tumor classification and neoantigen prediction for personalized cancer vaccines. An active collaborator and backend contributor on benchmark ML datasets (PMLB), he blends open-source engineering with translational research to shorten diagnostic turnarounds and uncover novel biomarkers. Trained in animal genetics and genomics, he brings a quantitative genetics perspective that helps bridge population-scale discovery with individual-level clinical interpretation.
10 years of coding experience
14 years of employment as a software developer
Master of Science - MS, Animal Sciences, Master of Science - MS, Animal Sciences at University of DelawareMaster's degree, Animal Genetics and Breeding, 3.68, Master's degree, Animal Genetics and Breeding, 3.68 at China Agricultural University
English, Chinese
Github Skills (4)
pandas10
python10
api-design9
data-analysis8
Programming languages (11)
Github contributions (5)
EpistasisLab/pmlb
Dec 2017 - Oct 2020
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 releases, 7 reviews, 105 commits in 2 years 9 months
Contributions summary:Weixuan contributed to the project by changing the Python API, likely to improve functionality or fix bugs. They modified the dataset lists and core pmlb.py files to reflect the API changes. They also merged branches, which suggests they are working with others in the team, and contributed to metadata writing.
machine-learning-algorithms
EpistasisLab/tpot
Aug 2016 - Jan 2021
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Contributions:21 releases, 11 reviews, 809 commits in 4 years 5 months
automated-machine-learninggenetic-programmingmachine-learningpythondata-science
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