Jingcheng Du
Vice President Of AI Innovation
Houston, Texas, United States
Summary
👤
Senior🎓
Top SchoolJingcheng Du is a Vice President of AI Innovation with eight years of experience building and commercializing AI and NLP solutions for healthcare and life sciences, currently leading product and solution delivery at Intelligent Medical Objects. He combines academic rigor—as an adjunct assistant professor and Ph.D. in Medical Informatics from UTHealth—with hands-on industry leadership, having directed NLP research teams and advised pharma clients like Pfizer. Jingcheng’s work spans medical AI, knowledge graphs, and real-world data analytics, translating research prototypes into regulated, enterprise-grade products. Known for bridging deep technical expertise and strategic product vision, he frequently applies advanced NLP to literature mining and pharmacovigilance use cases. A detail that sets him apart is his continued academic engagement alongside industry leadership, mentoring students and contributing to medical informatics education while scaling AI offerings.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Mechanical Engineering, Bachelor's degree Mechanical Engineering at Xidian UniversityDoctor of Philosophy (Ph.D.) Medical Informatics, Doctor of Philosophy (Ph.D.) Medical Informatics at The University of Texas Health Science Center at Houston (UTHealth Houston)Ph.D student Electrical Engineering, Ph.D student Electrical Engineering at Shanghai Jiao Tong University
Chinese, English
Github Skills (21)
genes10
google8
bioinformatics8
multilabel-classification7
mlnet7
tensorflow7
natural-language-processing7
natural-language-understanding7
nlp7
bert6
pre-trained-model6
readable5
twitter-search5
converting5
twitter5
Programming languages (2)
Github contributions (5)
ncbi-nlp/ML_Net
May 2019 - Dec 2019
ML-Net is a novel end-to-end deep learning framework for multi-label classification of biomedical tasks. ML-Net combines the label prediction network with a label count prediction network, which can determine the output labels based on both label confidence scores and document context in an end-to-end manner.
Contributions:7 commits, 13 pushes, 1 branch in 7 months
deep-learningmlnetmultilabel-classification
UT-Tao-group/Vaccine-AE-recognition
Jul 2020 - Nov 2020
Contributions:4 commits, 3 pushes, 1 branch in 3 months
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