Zhi Huang
Assistant Professor at University of Pennsylvania
Philadelphia, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolZhi Huang is an Assistant Professor and AI researcher with 11 years of experience building ML algorithms and software for translational biomedical problems, now leading lab work at the University of Pennsylvania after a postdoc at Stanford. His work spans foundation models, computational pathology/biology, and precision medicine, with practical systems such as TSUNAMI, Biolearns, and PathologyBrowser that demonstrate a commitment to usable bioinformatics tools. Zhi has developed novel survival-analysis algorithms (CoxNMF, SALMON) and clinical forecasting models, blending deep learning with domain-aware data reorganization to surface biologically meaningful insights. He is equally comfortable shipping web- and Python-based tooling and publishing methods, reflecting a rare mix of theory, engineering, and translational impact. Off the clock he jokes that Energy = milk × coffee², hinting at a caffeinated, productivity-oriented approach to research.
11 years of coding experience
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at Purdue UniversityNon degree exchange Electronic Engineering, Non degree exchange Electronic Engineering at University of Michigan-DearbornBachelor of Science (B.S.) Electrical and Electronics Engineering, Bachelor of Science (B.S.) Electrical and Electronics Engineering at Xi'an Jiaotong University
English, Chinese
Github Skills (45)
survival-analysis10
survival9
clip9
vision-and-language9
medical-imaging8
machine-learning8
large-language-models8
ide7
deep-learning7
efficientnet7
anaconda6
ai6
language-server-protocol6
python6
artificial-intelligence6
Programming languages (3)
Github contributions (5)
huangzhii/SALMON
Jan 2019 - Sep 2020
Contributions:1 review, 20 commits, 1 PR in 1 year 7 months
multi-omicsdeep-learningco-expressionneural-networksmachine-learning
huangzhii/nuclei.io
Dec 2022 - Mar 2025
nuclei.io: Human-in-the-loop active learning framework for pathology image analysis
Contributions:3 PRs, 39 pushes, 2 branches in 2 years 3 months
aimedical-imagingpathologywhole-slide-image
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