Scholar
Guihong Wan
Google Scholar ID: lBar8UkAAAAJ
Harvard Medical School, Harvard T.H. Chan School of Public Health, Massachusetts General Hospital
Citations & Impact
Citations
603
H-index
12
i10-index
14
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - 9/13/2025: Our tutorial “AI for Precision Medicine: Integrative Analysis of Histopathology Images and Spatial Omics” has been accepted for presentation at the IEEE International Conference on Data Mining (ICDM), November 14th, 2025.
- - 9/13/2025: Our tutorial “Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluations” has been accepted for presentation at the IEEE International Conference on Data Mining (ICDM), November 14th, 2025.
- - 9/05/2025: Our tutorial “Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluations” has been accepted for presentation at the Annual AAAI Conference on Artificial Intelligence (AAAI), January 21st, 2026.
- - 8/18/2025: Our tutorial “Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluations” was presented at the International Joint Conference on Artificial Intelligence (IJCAI), August 18th, 2025.
- - 6/10/2025: Our tutorial “Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluations” was presented at the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), June 10th, 2025.
- - 4/29/2025: Our paper “FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models” was accepted by IJCAI 2025.
- - 4/23/2025: Our paper “Long-term mortality outcomes among immunotherapy recipients treated with dupilumab for the management of cutaneous immune-related adverse events” was accepted by the Journal for ImmunoTherapy of Cancer.
- - 2/21/2025: Our study “Survival implications of systemic immunosuppression timing, dosage, and duration in immune checkpoint inhibitor therapy: A retrospective multicohort study” was accepted for Oral Presentation at 2025 SID Annual Meeting.
- - 10/30/2024: Our work “Multi-View Unsupervised Column Subset Selection via Combinatorial Search” was accepted by AAAI 2025 Student Abstract Program.
- - 5/13/2024: Our paper “Multi-organ toxicities from immune checkpoint blockade and their downstream implications: a retrospective multi-cohort study” was accepted by The Lancet Oncology.
- - 4/2/2024: Our paper “SpatialCells: automated profiling of tumor microenvironments with spatially resolved multiplexed single-cell data” was accepted by Briefings in Bioinformatics.
- - 2/23/2024: Our study “Individualized melanoma risk prediction using machine learning with electronic health records” was accepted for Oral Presentation at 2024 SID Annual Meeting.
- - 2/9/2024: Dr. Wan received NIH/NCI K99 Career Development Award.
Research Experience
- At CWan Lab (pronounced “Wan Lab”), we advance the foundations of artificial intelligence and machine learning to address key challenges in biomedicine, with a focus on spatially resolved biological data. Our work bridges algorithmic innovation and real-world application, developing biologically grounded and clinically impactful models that uncover disease mechanisms and drive personalized medicine.
Background
- Instructor at Harvard Medical School and Massachusetts General Hospital; NIH/NCI K99 Awardee. Research interests include Artificial Intelligence, Machine Learning, and Spatial Biology in Precision Medicine (AI4PM).
Miscellany
- We are actively recruiting postdoctoral researchers, graduate students, and data scientists with expertise in artificial intelligence, machine learning, and spatial biology, particularly as applied to cancer and precision medicine.
Co-authors