Zichen Wang
Senior Principal Applied Scientist at Oracle
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolZichen Wang is a Senior Principal Applied Scientist with 12 years of experience applying machine learning to biology and clinical medicine, currently driving AI for healthcare and life sciences at Oracle after leading foundational ML research at AWS. He specializes in high-dimensional biomedical data—multi-omics and longitudinal EHRs—and has built production-ready frameworks for billion-scale graph ML, biological foundation model pretraining, and RL-driven LLM agents. His background spans academia to industry, from a PhD in Computational Biology and postdoctoral work on physiological aging to principal scientist roles developing personalized phenotyping and COVID-19 survival analyses. An active open-source contributor, he has improved model visualization in scikit-learn and implemented graph generators in NetworkX, reflecting a blend of algorithmic rigor and practical tooling. Colleagues value his ability to translate deep generative, contrastive, and graph-learning research into scalable systems that impact clinical discovery and operations.
12 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Biochemistry and Molecular Biology, Bachelor of Science (BS) Biochemistry and Molecular Biology at China Agricultural UniversityDoctor of Philosophy (PhD) Computational Biology, Doctor of Philosophy (PhD) Computational Biology at Icahn School of Medicine at Mount Sinai
Chinese, English, French
Stackoverflow
1,364reputation
633kreached
25answers
5questions
signal-processing
top-5%
python
top-5%
Github Skills (25)
graph-algorithms10
python10
evaluation10
data-science10
scikit10
statistics10
machine-learning10
eval10
scikit-learn10
complex-networks10
graph-theory10
data-analysis10
signal-processing9
algorithm9
algorithms9
Programming languages (6)
Github contributions (5)
networkx/networkx
May 2014 - Jul 2014
Network Analysis in Python
Role in this project:
Back-end Developer & Algorithm Implementer
Back-end Developer & Algorithm ImplementerContributions:11 commits in 1 month
Contributions summary:Zichen contributed to the development of graph algorithms and related functionalities within the `networkx` library. Their work involved implementing graph generators, specifically for random walk graphs and a duplication-divergence model. They also made modifications and additions to existing graph generation code. The user also addressed code style issues and made minor bug fixes.
graph-analysispythoncomplex-networksgraph-theorygraph-visualization
scikit-learn/scikit-learn
Sep 2014 - Sep 2014
scikit-learn: machine learning in Python
Role in this project:Data Scientist
Data ScientistContributions:5 commits, 1 issue in 4 days
Contributions summary:Zichen's contributions primarily focused on enhancing machine learning model visualization within the scikit-learn library. They added macro-average ROC curve functionality to plotting examples, improving the evaluation of multi-class classification models. Further work addressed minor code issues by fixing a duplicated part of the plot_roc.py file, alongside incorporating feedback from other contributors to refine the plot.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
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