AI-Driven Medical Image Analysis: From Pattern Recognition to Predictive Medicine
Speaker: Quincy Gu, University of Pittsburgh Department of Pathology
Event Details
Please join us for the CSB Seminar Series on Monday, September 15 in room 6014 BST3 and on Zoom. Quincy Gu of the Department of Pathology will deliver a talk from 11:30 a.m. to 12:30 p.m. followed by lunch. This is a fantastic opportunity to learn about new research within our community.
- Date: Monday, September 15
- Time: 11:30 a.m. – 12:30 p.m.
- Location: BST3 6014
About the Speaker
Dr. Quincy Gu is an Assistant Professor in the Computational Pathology & AI Center of Excellence (CPACE) at the University of Pittsburgh School of Medicine, where he serves as Associate Director of R&D at CPACE. His research focuses on developing interpretable artificial intelligence frameworks that transform digital pathology, bridging computational analysis with clinical practice. Dr. Gu has pioneered innovative AI platforms for whole slide imaging analysis, automated pathology report generation, and virtual staining techniques, creating interpretable deep neural networks for cancer classification and multimodality learning systems that integrate histopathological imagery with molecular data to enhance diagnostic precision and accelerate clinical decision-making.
Beyond his research contributions, Dr. Gu is a recognized leader in advancing computational pathology through national service and education. He serves on the Artificial Intelligence Committee of the College of American Pathologists and multiple committees within the Association of Pathology Informatics and Digital Pathology Association. He co-instructs graduate courses in computational biology and actively mentoring students across disciplines. His work has resulted in multiple patents and peer-reviewed publications, establishing him as a leading voice in explainable AI for digital pathology and precision medicine.