VG Vinod Vydiswaran, PhD

Vinod Vydiswaran
Associate Professor of Learning Health Sciences, Medical School
Associate Professor of Information, School of Information
[email protected]
Available to mentor
VG Vinod Vydiswaran, PhD
Vinod Vydiswaran
Associate Professor
  • Qualifications
  • Center Memberships
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  • Qualifications

    • Research Fellow
      University of Michigan, School of Information, Ann Arbor, MI, United States
      2013 - 2015
      Postdoctoral Research
    • Postdoctoral Researcher
      University of Illinois, Beckman Institute, Urbana, United States
      2013 - 2013
      Postdoctoral Research
    • Master of Technology, Information Technology
      Indian Institute of Technology Bombay, Mumbai, India
      2002 - 2004

    Center Memberships

    • Center Member
      Center for Computational Medicine and Bioinformatics
    • Center Member
      AI and Digital Health Innovation
    • Center Member
      Institute for Healthcare Policy and Innovation
    • Center Member
      e-Health and Artificial Intelligence Initiative
    • Center Member
      Center for Global Health Equity

    Recent Publications

    See All Publications
    • Presentation
      Invited panelist in the Workshop on Artificial Intelligence and the Medical Record in the Context of Social Security Disability Evaluations in the session on Leadership Roundtable
      Vydiswaran VGV. 2026 Jun 17;
    • Patent
      Methods and systems for coupled agentic reinforcement learning
      Vydiswaran VGV. 2026 Jun 17;
    • Proceeding / Abstract / Poster
      Generalizing machine learning models from clinical free text
      Pandian B, Vandervest J, Mentz G, Varghese J, Steadman SD, Kheterpal S, Makar M, Vydiswaran VGV, Burns ML. Scientific Reports, 2025 Dec 1; 15 (1): DOI:10.1038/s41598-025-17197-6
      PMID: 40866580
    • Journal Article
      Unhealthy alcohol use detection in electronic health records: A comparative study using natural language processing
      Ju X, Solka J, Weber K, Vydiswaran VV, Lin LA, Bonar EE, Fernandez AC. Drug and Alcohol Dependence, 2025 Dec 1; 277: DOI:10.1016/j.drugalcdep.2025.112920
      PMID: 41109081
    • Journal Article
      Generalizing machine learning models from clinical free text.
      Pandian B, Vandervest J, Mentz G, Varghese J, Steadman SD, Kheterpal S, Makar M, Vydiswaran VGV, Burns ML. Sci Rep, 2025 Aug 28; 15 (1): 31668 DOI:10.1038/s41598-025-17197-6
      PMID: PMC12391454
    • Chapter
      Correcting Performance Metrics Bias During Generalization from Biased Samples to Populations
      Han P, Zhang G, Vydiswaran VGV. Studies in Health Technology and Informatics, 2025 Aug 7; 329: 891 - 895. DOI:10.3233/SHTI250968
      PMID: 40775986
    • Journal Article
      Leveraging Standardized Data Sources and Natural Language Inference Models to Extract Prostate Cancer Diagnosis and Staging at Scale from Clinical Notes
      Zhang Z, Zocher H, Rosen B, Covington E, Dess R, Evans J, Jackson W, Lawrence T, Matuszak M, Piatt G, Vydiswaran VGV, Mayo C. Clinical Cancer Research, 2025 Jul 21;
    • Preprint
      Comparing methods for determining home and work locations from geotagged social media data
      Goodspeed R, Yuan M, Bhogal AN-B, Vydiswaran VV, Romero D, Willis M, Veinot T. 2025 Jun 1; SocArXiv, DOI:10.31235/osf.io/g7c4p_v2

    Featured News & Stories

    Vinod Vydiswaran
    Department News

    Vinod Vydiswaran Appointed Director of HILS Graduate Programs

    DLHS Chair, Dr. Gretchen Piatt announced the appointment of Dr. Vinod Vydiswaran as the new Director of the Health Infrastructures and Learning Systems (HILS) MS and PhD programs, effective July 1, 2025.
    Department News

    HILS PhD student presents at Malta workshop on challenges facing patient de-identification systems

    The Department of Learning Health Sciences and the Health Infrastructures and Learning Systems (HILS) team congratulates HILS PhD student, Dalton Simancek, MSI for his recent presentation at the 2024 Workshop on Computational Approaches to Language Data Pseudonymization (CALD-pseudo 2024) in St Julian’s, Malta.
    Department News

    DLHS awarded $5 million federal grant to train Learning Health System Scientists

    The Department of Learning Health Sciences (DLHS) at the University of Michigan Medical School received a $5 million, five-year grant to apply innovative methods to improve health, healthcare, and health equity.
    Dr. Vydiswaran explains his research on a dry erase board
    Health Lab

    Dr. Vydiswaran’s Michigan Answer: Better outcomes through big data

    Nearly all of us engage with some form of social media every day. But what if the true power of social media wasn’t found in a like, tweet or follow? For an emerging field of research taking place at Michigan Medicine, it’s the data inside social media that may have the power to give patients bigger answers and better outcomes.