Summary
Hong Qin is an Associate Professor and interdisciplinary AI researcher with 13 years of experience developing machine learning methods for biomedical and public health challenges. She leads multiple NSF-funded projects spanning predictive intelligence for pandemic prevention, cyber workforce development, and computational biology, and currently holds joint appointments in data science and computer science. Her work bridges mathematical biology, generative AI for dynamic graph modeling, and fairness in global health, reflecting both theoretical depth and applied impact. Hong serves as an academic editor for several high-profile journals and organized symposium tracks advancing equitable AI for health, signaling strong leadership in the research community. Trained with a PhD in Biochemistry and Molecular Biology and an MS in Computer Science, she combines wet‑lab insight with computational rigor—an asset in modeling cellular aging and complex biological networks. Based in Hong Kong with a U.S. academic footprint, she routinely translates cross-disciplinary science into actionable tools and policy-relevant research.
13 years of coding experience
20 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Loyola University Chicago
Tsinghua University
PhD Biochem and Molecular Biology, PhD Biochem and Molecular Biology at University of Chicago
English, Chinese