Hanxi (Han-Shee) Xiao
PhD Candidate
Joint CMU – University of Pittsburgh Program in Computational Biology
Das Lab · Center for Systems Immunology
Joint CMU – University of Pittsburgh Program in Computational Biology
Das Lab · Center for Systems Immunology
I develop AI/ML methods for immunology, with a focus on statistical modeling and deep learning for noisy, high-dimensional biological signals. Currently, I am building an interpretable variant of attention mechanisms for transformer models.
Selected Publications
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SLIDE: Significant Latent Factor Interaction Discovery and Exploration across biological domainsNature Methods, 2024 Nature Methods
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Interpretable machine learning uncovers epithelial transcriptional rewiring and a role for Gelsolin in COPDJCI Insight, 2024 JCI Insight
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Spatial microniches of IL-2 combine with IL-10 to drive lung migratory TH2 cells in response to inhaled allergenNature Immunology, 2024 Nature Immunology
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From bench to bedside via bytes: Multi-omic immunoprofiling and integration using machine learning and network approachesHuman Vaccines & Immunotherapeutics, 2023 Review
News
- Oct 2024 Co-authored paper on spatial microniches driving lung migratory TH2 cells published in Nature Immunology.
- Oct 2024 Co-first-authored paper on interpretable ML for COPD published in JCI Insight.
- Sep 2024 Received research presentation award at the University of Pittsburgh Immunology Retreat for work on interpretable ML for myocardial infarction.
- Sep 2024 Co-authored paper on deep humoral profiling for schistosomiasis published in Science Translational Medicine.
- Aug 2024 Co-authored paper on aberrant mitochondrial DNA in macrophages published in Nature Communications.
- May 2024 SLIDE published in Nature Methods. Featured by Pitt and Cornell.
- Dec 2023 Awarded the Quantitative Methodologies Pilot Program (QuMP) grant as co-PI.
- Oct 2023 Passed thesis proposal and doctoral candidate exam!