Qiangqiang Gu, PhD

Summary

Dr. Gu’s research works centers on developing interpretable feature-based networks that decode the complexities of tumor microenvironments and harness multimodal learning to connect histological features with molecular data. As an associate director of R&D at the Computational Pathology & AI Center of Excellence (CPACE), he co-leads initiatives spanning from advanced medical imaging analytics to generative AI solutions for automating pathology reports. Dr. Gu's research particularly shines in digital pathology whole slide imaging analysis, where he's pioneering explainable computational methods that enhance cancer diagnostics and exploring cutting-edge approaches like synthetic image generation and virtual staining. His collaborative work with clinicians and industry partners has yielded numerous patents and publications in prestigious journals, particularly in quantitative pathology feature extraction for diffuse large B-cell lymphoma classification. By bridging the gap between visual tissue assessment and molecular characterization, Dr. Gu is fundamentally transforming how pathologists interact with digital tools, ultimately improving patient care through more precise and transparent computational diagnostics.