Summary
Chong Duan is a Digital & Imaging AI Lead with a decade of experience applying machine learning and deep learning to clinical imaging and digital biomarkers within drug R&D. At Pfizer he has led multidisciplinary AI initiatives across oncology, cardiology, and gastroenterology, translating research-grade models into scalable AWS-deployed pipelines for clinical studies. His background spans rigorous MRI physics (PhD) and computer science, enabling him to bridge algorithm development, imaging protocol design, and biomarker validation. He has driven high-impact translational work—winning Pfizer’s Breakthrough Science & Innovation prize—and contributed peer review to leading imaging journals. Beyond organizational leadership, Chong has hands-on experience building contrast-agent-free MRI methods and productionized ML infrastructure (serverless, containerized workflows) for regulatory-grade endpoints. Based in Boston, he collaborates broadly with academia, startups, and non-profits to push imaging AI from proof-of-concept to clinical decision support.
10 years of coding experience
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
Bachelor's degree, Bachelor's degree at Nankai University
Doctor of Philosophy - PhD Physical Chemistry (Magnetic Resonance Imaging), Doctor of Philosophy - PhD Physical Chemistry (Magnetic Resonance Imaging) at Washington University in St. Louis
Chinese, English