Summary
Tiancheng Gai is a medical imaging researcher and teaching assistant completing a PhD in Computer Engineering at the University of Oklahoma with 11 years of engineering experience spanning academia and industry. He develops and evaluates computer-aided quantitative imaging algorithms and machine learning models to predict disease risk and pancreatic cancer prognosis, combining radiology domain knowledge with deep learning and image-processing toolchains like MATLAB, ITK-SNAP, and Python. Tiancheng’s background includes hands-on hardware and UI work from earlier roles—circuit design and app UI at a Shanghai firm and web development for digital marketing—which gives him a rare cross-disciplinary perspective on both embedded systems and clinical software. He mentors students in programming courses, has interned as an AI model research scientist at Intel, and brings practical experience deploying PACS-integrated workflows. Colleagues describe him succinctly by his GitHub motto: “Just do it,” reflecting a pragmatic, results-driven approach to research and engineering.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Tongji University
Master's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at Stevens Institute of Technology
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at University of Oklahoma