Research Themes
[1] Graph and Deep Learning for Biomedical Data
– Graph Neural Networks and Biomedical Knowledge Graphs
– Self-Supervised and Contrastive Representation Learning
– Large Language and Vision Models (LLMs and LVMs) for Biomedical Applications
[2] Computational Geometry and Spatial Biology
– Geometric Algorithms for Modeling Tissue Microenvironments and Cell-Cell Interactions
– Single-Cell Spatial Analysis and Interpretation
– 3D Spatial Modeling Methods for Tissue and Cellular Structures
[3] Multimodal Integration and Clinical Decision Support
– Integrative Methods for Combining EHRs, Histopathology, and Spatial Multi-Omics
– Predictive modeling for Treatment Response and Disease Progression
– Real-Time Clinical Decision Support under Uncertainty
Publications
Artificial Intelligence in Medicine
– G. Wan, W. Chen, S. Khattab, K. Roster, N. Nguyen, B. Yan, A. Rajeh, J. Seo, H. Rashdan, L. Zubiri, M. J. Hadfield, S. Demehri, K-H Yu, W. Lotter, A. Gusev, N. R. LeBoeuf, K. L. Reynolds, S. G. Kwatra, Y. R. Semenov. Multi-organ immune-related adverse events from immune checkpoint inhibitors and their downstream implications: a retrospective multicohort study. The Lancet Oncology, 2024. Paper
– G. Wan, Z. Maliga, B. Yan, T. Vallius, Y. Shi, S. Khattab, C. Chang, A. J. Nirmal, K-H Yu, D. Liu, C. G. Lian, M. S. DeSimone, P. K. Sorger, Y. R. Semenov. SpatialCells: automated profiling of tumor microenvironments with spatially resolved multiplexed single-cell data. Briefings in Bioinformatics, 2024. Paper
– Y. An, X. Liu, H. Chen, G. Wan. Identification of breast cancer subtypes based on graph convolutional network. Journal of Biomedical Engineering, 2024.
– G. Wan, M. Jiao, et al. Electrophysiological brain source imaging via combinatorial search with provable optimality. AAAI, 2023. Paper
– G. Wan, B. Leung, et al. Development and validation of time-to-event models to predict metastatic recurrence of localized cutaneous melanoma. JAAD, 2023. Paper
– B. Leung*, G. Wan*, et al. Increased risk of cutaneous immune-related adverse events in patients treated with talimogene laherparepvec and immune checkpoint inhibitors: A multi-hospital cohort study. JAAD, 2023. (*Equal contribution) Paper
– N. Nguyen*, G. Wan*, et al. Influence of melanoma type on incidence and downstream implications of cutaneous immune-related adverse events in the setting of immune checkpoint inhibitor therapy, JAAD, 2023. (*Equal contribution) Paper
– S. Zhang*, K. Tang*, G. Wan*, et al. Cutaneous immune-related adverse events are associated with longer overall survival in advanced cancer patients on immune checkpoint inhibitors: a multi-institutional cohort study. JAAD, 2023. (*Equal contribution) Papaer
– G. Wan, N. Nguyen, F. Liu et al. Prediction of early-stage melanoma recurrence using clinical and histopathologic features. NPJ precision oncology, 2022. Paper
– F. Liu*, G. Wan*, Y.R. Semenov, P.L. Purdon. Extended electrophysiological source imaging with spatial graph filters. MICCAI, 2022. (*Equal contribution) Paper
– M. Jiao, G. Wan, Y. Guo, et al. A graph fourier transform based bidirectional long short-term memory neural network for electrophysiological source imaging. Frontiers in neuroscience. 2022. Paper
– Q. Wang, F. Liu, G. Wan, Y. Chen. Inference of brain states under anesthesia with meta learning based deep learning models. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022. Paper
Graph Learning and Combinatorial Optimization
– G. Wan, B. He, H. Schweitzer. The art of centering without centering for robust principal component analysis. Data Mining and Knowledge Discovery, 2024. Paper
– G. Wan, H. Schweitzer. Spectral pursuit for simultaneous sparse representation with accuracy guarantees. International Journal of Data Science and Analytics, 2024. Paper
– G. Wan, H. Schweitzer. Heuristic Search for Approximating One Matrix in Terms of Another Matrix, IJCAI, 2021. Paper Code
– G. Wan, H. Schweitzer. Edge sparsification for graphs via meta-learning. ICDE, 2021. Paper
– G. Wan, H. Schweitzer. Accelerated Combinatorial Search for Outlier Detection with Provable Bounds on Sub-Optimality. AAAI, 2021. Paper
– G. Wan, H. Schweitzer. A lookahead algorithm for robust subspace recovery. ICDM, 2021. Paper
– G. Wan, C. Maung, C. Zhang, H. Schweitzer. Fast distance metrics in low-dimensional space for neighbor search problems. ICDM, 2020. Paper
Clinical Informatics and Genetics
– S. Khattab*, G. Wan*, et al. Long-term mortality outcomes among immunotherapy recipients treated with dupilumab for the management of cutaneous immune-related adverse events. Journal for ImmunoTherapy of Cancer, 2025. Paper
– G. Wan, S. Khattab, B. Leung, et al. Cancer type and histology influence cutaneous immunotherapy toxicities: a multi-institutional cohort study. British Journal of Dermatology, 2024. Paper
– C. Vasavda*, G. Wan*, et al. A polygenic risk score for predicting racial and genetic susceptibility to prurigo nodularis. Journal of Investigative Dermatology, 2023. (*Equal contribution) Paper
– H. Rashdan, S. Zhang, G. Wan, N. Nguyen, K. Roster, A. Rajeh, K. Tang, W. Chen, C. Moseley, S. Chen, N. LeBoeuf, Y.R. Semenov. Timing of cutaneous immune-related adverse events impacts survival in patients with cancer treated with immune-checkpoint inhibitors: A multi-institutional cohort study. Journal of the American Academy of Dermatology, 2024. Paper.
– K. Tang, A. Rajeh, K.S. Shaw, N. Nguyen, G. Wan, K.B. Hashemi, R.L. Castillo, S.G. Kwatra, N.R. LeBoeuf, R.A. Vleugels, Y.R. Semenov. De novo autoimmune connective tissue disease and mortality in patients treated with anti-programmed death receptor-1 and anti-programmed death-ligand 1 therapy: a population-level cohort study. British Journal of Dermatology, 2024. Paper.