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[ASA SSGG Webinar] Bayesian multi-omics disease subtyping with clinical outcome guidance in the context of multi-facet cluster structure

  • 1.  [ASA SSGG Webinar] Bayesian multi-omics disease subtyping with clinical outcome guidance in the context of multi-facet cluster structure

    Posted 12 hours ago

    The Membership Engagement Committee of the ASA Section on Statistical Genomics and Genetics (SSGG) proudly presents:

    🎙️ Speaker: Dr. George Tseng, Vice Chair for Research and Professor of Biostatistics, University of Pittsburgh

    🧩 Topic: Bayesian multi-omics disease subtyping with clinical outcome guidance in the context of multi-facet cluster structure

    🗓️ Date: Monday, November 24, 2025

    🕐 Time: 1:00 – 2:00 PM EST / 10:00 – 11:00 AM PST

    💻 Location: Virtual (via Zoom)

    🔗 Register here: https://zoom.us/webinar/register/WN_ZQtk_Nl_Te6y3EVnFhZfsA#/registration

    📄 Flyer: https://www.dropbox.com/scl/fi/51pnnal6acypccep8gcwt/SSGG-Flyer_Georges_Tseng.pdf?rlkey=knsiz3luci11qjcj4haw768xi&st=fyxmck89&dl=0


    Abstract Clustering of high-dimensional multi-omics data is central to precision medicine, yet biological signals are often multi-faceted—driven by sex, age, or disease subtypes. Dr. Tseng will present a Bayesian outcome-guided framework that integrates clinical outcomes to discover clinically meaningful subtypes across multiple omics modalities. Applications and simulations show enhanced interpretability and translational potential.

    Bio Dr. George Tseng is Professor and Vice Chair for Research in Biostatistics at the University of Pittsburgh, with secondary appointments in Human Genetics and Computational & Systems Biology. An ASA Fellow and past President of the ASA Pittsburgh Chapter, he currently serves as Chair of ASA SSGG (2023–2025). His research focuses on statistical machine learning and modeling for omics and bioinformatics applications.


    We look forward to your participation!

    *ASA SSGG Membership Engagement Committee



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    Himel Mallick, PhD, FASA
    Principal Investigator (Tenure-track Faculty)
    Cornell University
    New York, New York 10065
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