Fan Zheng
Principal Scientist, Data Sciences
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolFan Zheng is a Principal Scientist in Data Sciences with a PhD and nine years of experience applying computational biology, structural bioinformatics, and machine learning to drug discovery and cancer research. He has led computational structural biology and AI-for-protein initiatives in industry, built scalable AWS and HPC pipelines, and translated multi-omics and Ribo-seq analyses into actionable biomarkers for targeted protein degradation programs. His academic work fused network-driven cancer genomics with structural motif mining and Rosetta-based peptide design, and he routinely bridges wet-lab validation and software engineering teams. Proficient in Python, R, PyTorch, Cytoscape and Rosetta, he is equally comfortable shipping production cloud tools and developing novel algorithms for multiscale biological patterns. Notably, his background reflects both deep methodological rigor and practical delivery—taking insights from TCGA and public proteomics into internal platforms that accelerate R&D.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational Biology, Doctor of Philosophy (Ph.D.) Computational Biology at Dartmouth CollegeBachelor of Science (B.S.) Biological Sciences, Bachelor of Science (B.S.) Biological Sciences at Peking University
Github Skills (43)
ontologies10
hierarchical9
rdf9
partitions8
infer8
decoding8
r-package8
data-driven7
nodes6
thai6
bioinformatics6
hierarchy5
viewer5
r5
linked-open-data4
Programming languages (7)
Github contributions (5)
fanzheng10/HiDeF
Oct 2019 - Jul 2022
HiDeF (Hierarchical community Decoding Framework)
Contributions:2 releases, 125 commits, 4 PRs in 2 years 10 months
decodinghierarchical
fanzheng10/HiSig
Feb 2019 - Jan 2022
Contributions:1 release, 109 commits, 62 pushes in 3 years
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