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    Luddy School of
    Informatics, Computing, and Engineering

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    • Juexin Wang, Ph.D.

    Juexin Wang, Ph.D.

    Assistant Professor, Bioinformatics

    Phone:
    317-278-9245
    Email:
    wangjuex@iu.edu
    Website:
    Wang Lab (https://jwang-lab.github.io/)
    IT 475K

    Google Scholar profile
    Research Gate profile

    Biography

    Before joining Indiana University, Juexin Wang completed bioinformatics training as a postdoctoral fellow and research scientist at the University of Missouri. He earned his bachelor’s, master’s, and Ph.D. in computer science.

    Wang has a long-standing interest in studying machine learning algorithms, tool development, and data analysis in bioinformatics. His academic training and research experience have provided him with an excellent background in multiple disciplines, including computer science, statistics, and computational biology.

    He currently is developing methods to model single-cell and spatial transcriptomics data, and data analysis in kidney diseases, cancer, and nervous system diseases. Some presentative works are published in Nature Communications and Bioinformatics.

    Wang has served as a peer reviewer for more than 20 peer review journals and meetings, including major journals Nature Communications and Nucleic Acid Research. Wang’s lab is currently supported by NIH.

    Research Interests

    • Deep learning modeling single-cell multiomics and spatial transcriptomics
    • Data analysis and applications in kidney diseases, cancer, and nervous system diseases
    • Machine learning approaches and applications in molecular dynamics
    • Software and web server development for biological researchers

    Classes

    • INFO-B 429 / INFO-B 529 Machine Learning for Bioinformatics
    • INFO-B 473 Application Programming for Biomedical Data Analysis
    • INFO-B 573 Programming for Science Informatics

    News

    • Luddy professor’s novel study of cell organization reveals new paths to better health
    • BHI researcher’s AI methodology for analyzing gene expression published in Nature Communications
    • Researchers using AI to detect root of kidney disease causes
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