Zhenbang Wu
Software Engineer at Meta
Urbana, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolZhenbang Wu is a software engineer and CS Ph.D. student at UIUC with eight years of experience applying deep learning to healthcare and biosignal problems. Currently at Meta on AI for Health & Wellbeing after interning on foundation models for biosignals, he blends research rigor with production-focused engineering. His internships at NIH, Data Tecnica, and IQVIA centered on machine learning for early detection of neurodegenerative disease and patient data linkage, reflecting a specialty in clinical ML pipelines. An active contributor to PyHealth, he has hands-on experience organizing example notebooks and maintaining reproducible environments for healthcare modeling. Trained in computer engineering and electronics across UIUC and Zhejiang University, he brings both systems-level thinking and domain expertise in biomedical ML.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-ChampaignBachelor of Engineering - BE, Electronics and Computer Engineering, Bachelor of Engineering - BE, Electronics and Computer Engineering at Zhejiang University
Github Skills (9)
data-analysis10
jupyter-notebook10
python10
machine-learning9
deep-learning9
data-preprocessing9
medical8
ehealth8
health8
Programming languages (1)
Github contributions (5)
sunlabuiuc/PyHealth
Jul 2022 - Dec 2022
A Deep Learning Python Toolkit for Healthcare Applications.
Role in this project:
Data Scientist
Data ScientistContributions:39 reviews, 166 commits, 50 PRs in 5 months
Contributions summary:Zhenbang reorganized the file structure within the repository, specifically focusing on the example notebooks, indicating a focus on data analysis and model usage. The commits include fixes to import statements and module dependencies within the example notebook, demonstrating an ability to maintain a working environment for machine learning tasks. These updates suggest the user is involved in the practical application and demonstration of the toolkit's functionalities.
python-libraryclinical-datapythondeep-learningdata-mining
zzachw/Mitosis-Detection-with-Transfer-Learning
Oct 2019 - Mar 2021
PyTorch implementation of the image classification model for mitosis detection.
Contributions:1 PR, 7 pushes in 1 year 5 months
pytorchdeep-learningmitosismitosis-detectiontorchvision
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