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Bioinformatics, Computational and Systems Biology

Machine learning for biomedical applications

Thursday, October 12, 2023
12:30 PM – 2:00 PM PDT
Location: 331 (Center, Level 3)

Presentations:

  • 12:30 PM – 12:45 PM PDT
    DeepDelta: Predicting Pharmacokinetic/Pharmacodynamic Improvements of Molecular Derivatives with Deep Learning

    Presenting Author: Zachary Fralish, BS – Duke University

    Co-Author: Ashley Chen – Duke University

    Co-Author: Paul Skaluba – Duke University

    Primary Investigator: Daniel Reker, DrSc – Duke University

  • 12:45 PM – 1:00 PM PDT
    Design of Peptide-Guided Protein Editors via Generative Language Models

    Co-Author: Garyk Brixi – Duke University

    Co-Author: Kalyan Palepu – Duke University

    Co-Author: Suhaas Bhat – Duke University

    Co-Author: Sophia Vincoff (she/her/hers) – Duke University

    Co-Author: Tianlai Chen – Duke University

    Co-Author: Lauren Hong (she/her/hers) – Duke University

    Co-Author: Vivian Yudistyra (she/her/hers) – Duke University

    Presenting Author: Pranam Chatterjee – Duke University

  • 1:00 PM – 1:15 PM PDT
    SLIDE: Significant Latent Factor Interaction Discovery and Exploration across biological domains

    Co-Author: Javad Rahimikollu – University of Pittsburgh

    Co-Author: Hanxi Xiao – University of Pittsburgh

    Co-Author: Anna Rosengart – University of Pittsburgh

    Co-Author: Tracy Tabib – University of Pittsburgh

    Co-Author: Paul Zdinak – University of Pittsburgh

    Co-Author: Xin Bing – University of Toronto

    Co-Author: Florentina Bunea – Cornell University

    Co-Author: Marten Wegkamp – Cornell University

    Co-Author: Amanda Poholek – University of Pittsburgh

    Co-Author: Alok Joglekar – University of Pittsburgh

    Co-Author: Robert Lafyatis – University of Pittsburgh

    Co-Author: Kun He – University of Pittsburgh

    Presenting Author: Jishnu Das, https://scholar.google.com/citations?user=61wI3HMAAAAJ&hl=en&oi=ao (he/him/his) – University of Pittsburgh

  • 1:15 PM – 1:30 PM PDT
    Point-of-care identification of SARS-CoV-2 variants of concern using a multiplexed antibody microarray and machine learning

    Presenting Author: Zachary Quinn (he/him/his) – Duke University

    Primary Investigator: Ashutosh Chilkoti – Duke University

    Co-Author: David Kinnamon – Duke University

    Co-Author: Jacob Heggestad – L.E.K Consulting

  • 1:30 PM – 1:45 PM PDT
    Multiplexing microbial biosensors through machine learning

    Presenting Author: Katherine Duncker, MS (she/her/hers) – Duke University

    Co-Author: Harshitha Venugopal Lavanya – Duke University

    Co-Author: Ryan D'Cunha – Duke University

    Co-Author: Sizhe Liu, PhD – Rice University

    Last Author: Lingchong You – Duke University

  • 1:45 PM – 2:00 PM PDT
    AI-supported biological modeling acceleration and parameter optimization

    Presenting Author: LINLIN LI, PhD (she/her/hers) – Purdue University

    Co-Author: Junyi Chai – Purdue Univerisity

    Co-Author: Xiaoqian Wang – Purdue University

    Primary Investigator: David Umulis – Purdue University