Artificial Intelligence, Machine Learning, and Spatial Biology in Precision Medicine (AI4PM)

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.

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 precsion medicine.

News
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.

2024
– 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! Paper Press
– 4/2/2024: Our paper “SpatialCells: automated profiling of tumor microenvironments with spatially resolved multiplexed single-cell data” was accepted by Briefings in Bioinformatics! Paper Code
– 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!
– 2/5/2024: Boshen got acceptance into the PhD program in Computational Biology from Carnegie Mellon University. Congratulations!
– 2/2/2024: Our paper “Cancer Type and Histology Influence Cutaneous Immunotherapy Toxicities: A Multi-Institutional Cohort Study” was accepted by British Journal of Dermatology! Paper
– 2/1/2024: Our paper “Identification of breast cancer subtypes based on graph convolutional network” has been published by Journal of Biomedical Engineering!
– 2/1/2024: Dr. Wan has been promoted as Instructor at Harvard Medical School!

2023
– 11/14/2023: Our paper “Spectral Pursuit for Simultaneous Sparse Representation with Accuracy Guarantees” was accepted by International Journal of Data Science and Analytics! Paper
– 8/28/2023: Our paper “Development and Validation of Time-to-Event Models to Predict Metastatic Recurrence of Localized Cutaneous Melanoma” was accepted by Journal of the American Academy of Dermatology! Paper
– 10/30/2023: Three abstracts were accepted by the AAAI-2024 Student Abstract and Poster Program.
– 9/11/2023: Our paper “Pre-Existing Inflammatory Disease Predicts Cutaneous Immunotherapy Toxicity Development: A Multi-Institutional Cohort Study” was was accepted for publication by Journal of the American Academy of Dermatology!
– 8/22/2023: Our paper “The Art of Centering Without Centering for Robust Principal Component Analysis” was accepted by Data Mining and Knowledge Discovery! Paper
– 6/17/2023: Dr. Wan received an impact score of 15 for her NIH/NCI K99 application!
– 4/17/2023: Our paper “A polygenic risk score for predicting racial and genetic susceptibility to prurigo nodulari” was accepted for publication in the Journal of Investigative Dermatology! Paper
– 3/10/2023: Dr. Wan received a scholarship of $80,500 from Harvard T.H. Chan School of Public Health.
– 3/9/2023: Dr. Wan got acceptance into the M.S. program in Computational Biology and Quantitative Genetics at Harvard T.H. Chan School of Public Health.
– 2/3/2023: Our paper “Increased Risk of Cutaneous Immune-Related Adverse Events in Patients Treated with Talimogene Laherparepvec and Immune Checkpoint Inhibitors: A Multi-institutional Cohort Study” was accepted for publication in Journal of the American Academy of Dermatology! Paper
– 2/2/2023: Our paper “Influence of melanoma type on incidence and downstream implications of cutaneous immune-related adverse events in the setting of immune checkpoint inhibitor therapy” was accepted for publication in Journal of the American Academy of Dermatology! Paper

2022
– 12/19/2022: Dr. Wan received the MGH Fund for Medical Discovery (FMD) Clinical Research Fellowship Award!
– 12/15/2022: Our paper “Cutaneous immune-related adverse events are associated with longer overall survival in advanced cancer patients on immune checkpoint inhibitors: a multi-institutional cohort study” was accepted for publication in Journal of the American Academy of Dermatology! Paper
– 11/19/2022: Our paper “Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality” was accepted by AAAI 2023! Paper
– 11/4/2022: Our research was reported in The Havard Gazette.
– 10/16/2022: Our study “Anytime Combinatorial Search for Matrix Sparse Representation” won the second place in the Best Paper Competition for the 17th INFORMS Workshop on Data Mining and Decision Analytics.
– 9/20/2022: Our paper “Prediction of Early-Stage Melanoma Recurrence Using Clinical and Histopathologic Features” was accepted for publication in npj Precision Oncology! Paper
– 9/11/2022: Our study “Anytime Combinatorial Search for Matrix Sparse Representation” was selected as the Best Paper Finalist in the theoretical track for the 17th INFORMS Workshop on Data Mining and Decision Analytics.
– 8/29/2022: Our paper “Germline variants associated with toxicity to immune checkpoint blockade” was accepted for publication by Nature Medicine!
– 7/15/2022: Dr. Wan received the 2022 Dermatology Fellowship Award from Melanoma Research Alliance!