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Booil Jo

Booil Jo

· PhD

Stanford University · Immunology and Infectious Diseases

Active 1995–2026

h-index59
Citations12.9k
Papers21788 last 5y
Funding$1.3M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Booil Jo is a Professor of Psychiatry and Behavioral Sciences at Stanford University, specializing in Interdisciplinary Brain Science Research. His research focuses on latent variable modeling, causal inference, longitudinal data analysis, missing data analysis, mixture and growth mixture modeling, and prevention science methodology. He has contributed to understanding heterogeneity among unobserved subpopulations in mental health research and has been involved in various courses related to research methodology in behavioral sciences. His academic background includes a Ph.D. in Applied Statistics from UCLA, obtained in 1998. Dr. Jo has been actively engaged in research that explores complex statistical methods to improve mental health and behavioral science studies. His work has been recognized through awards such as the R01 grant from NIMH for studying heterogeneity in mental health populations. He also serves as a doctoral dissertation reader and faculty sponsor for postdoctoral researchers, contributing to the development of future scholars in his field.

Research topics

  • Medicine
  • Psychiatry
  • Internal medicine
  • Psychology
  • Neuroscience
  • Pediatrics
  • Physical medicine and rehabilitation
  • Endocrinology
  • Audiology

Selected publications

Recent grants

Frequent coauthors

  • Amit Etkin

    112 shared
  • Gregory A. Fonzo

    Multidisciplinary Association for Psychedelic Studies

    110 shared
  • Sanno Zack

    Stanford University

    109 shared
  • Meredith Harvey

    109 shared
  • Kathy Peng

    Stanford University

    109 shared
  • Steven E. Lindley

    Stanford University

    108 shared
  • Madeleine S. Goodkind

    University of New Mexico

    107 shared
  • Bruce A. Arnow

    107 shared

Labs

Education

  • Ph.D., Applied Statistics

    UCLA

    1998

Awards & honors

  • R01: Heterogeneity among unobserved (underlying) subpopulati…

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