Tong Wu
Associate Director In AI Science
Whitemarsh Township, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolTong Wu is an Associate Director in AI Science with eight years of experience applying machine learning to healthcare, specializing in EHR representation learning, disease progression prediction, patient subtyping, and phenotyping. He progressed through multiple leadership roles at IQVIA after a PhD in Biomedical Engineering, bringing a rare combination of clinical-scale data science and hardware-aware algorithm design rooted in prior ASIC and VLSI work. His research portfolio includes streaming PCA and deep compressive autoencoders for neural data, a few-shot adversarial spike-sorting approach, and ME2Vec—an interpretable hierarchical embedding for claims data published at NeurIPS Workshop. Based in Whitemarsh Township, PA, he blends hands-on model development in Python/PyTorch with production-minded pipelines and a track record of turning complex biomedical signals into deployable analytics. Notably, his background in integrated circuit design informs efficient, resource-aware ML solutions that scale from chip-level implementations to enterprise healthcare platforms.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biomedical/Medical Engineering, Doctor of Philosophy (Ph.D.) Biomedical/Medical Engineering at University of MinnesotaBachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Huazhong University of Science and TechnologyMaster's degree Integrated Circuit Design, Master's degree Integrated Circuit Design at Zhejiang UniversityGithub contributions (5)
tong-wu-umn/ME2Vec
Jan 2021 - May 2021
Contributions:24 commits, 2 pushes, 1 tag in 3 months
tong-wu-umn/spike-compression-autoencoder
Jul 2018 - Sep 2018
Contributions:2 releases, 38 commits, 13 pushes in 2 months
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