Srijan Sen
Frances and Kenneth Eisenberg Professor of Depression and Neurosciences
Center Director
University of Michigan Depression Center
Professor of Psychiatry
Research Professor
Michigan Neuroscience Institute
[email protected]

Available to mentor

Srijan Sen
Center Director
  • About
  • Center Memberships
  • Recent Publications
  • About

    Srijan Sen is the Frances and Kenneth Eisenberg Professor of Depression and Neurosciences and Director of the Eisenberg Family Depression Center at the University of Michigan. He received his M.D. and Ph.D. from the University of Michigan, completed a psychiatry residency at Yale University and returned to Michigan as faculty in 2009. The Intern Health Study is a longitudinal cohort study that assesses stress and mood in training physicians, enrolling over 25,000 participants from 100+ institutions. The project has produced high-impact findings across a wide range of interdisciplinary academic topics including genomics, mobile technology, economics, gender and racial disparities, survey methodology and medical education policy. Work from the study has been published in JAMA, BMJ, New England Journal of Medicine and other leading journals covered in the New York Times, Washington Post, Time Magazine and other media outlets. Dr. Sen is a member of the National Academy of Medicine Collaborative on Clinician Well-Being.

    Center Memberships
    • Center Member
      Center for Computational Medicine and Bioinformatics
    • Center Member
      Global REACH
    • Center Member
      Eisenberg Family Depression Center
    • Center Member
      Precision Health Initiative
    • Center Member
      Institute for Healthcare Policy and Innovation
    • Center Member
      Taubman Institute
    • Center Member
      MM-PKUHSC Joint Institute
    Recent Publications See All Publications
    • Journal Article
      Correction: Use of mobile technology to identify behavioral mechanisms linked to mental health outcomes in Kenya: protocol for development and validation of a predictive model.
      Njoroge W, Maina R, Frank E, Atwoli L, Wu Z, Ngugi AK, Sen S, Wang J, Wong S, Baker JA, Weinheimer-Haus EM, Khakali L, Aballa A, Orwa J, Nyongesa MK, Shah J, Waljee AK, Abubakar A, Merali Z. BMC Res Notes, 2024 Mar 12; 17 (1): 72 DOI:10.1186/s13104-024-06731-w
      PMID: 38475887
    • Journal Article
      New Insights on Trends in Overdose Deaths by Intent and Drug Involvement From Improved Public Health Monitoring.
      Bohnert ASB, Sen S. Am J Public Health, 2024 Oct; 114 (10): 966 - 967. DOI:10.2105/AJPH.2024.307811
      PMID: 39116398
    • Journal Article
      Resident physician depression: systemic challenges and possible solutions.
      Pereira-Lima K, Sen S. Trends Mol Med, 2024 Aug 23; DOI:10.1016/j.molmed.2024.08.001
      PMID: 39181802
    • Journal Article
      A review of the peak-end rule in mental health contexts.
      Horwitz AG, McCarthy K, Sen S. Curr Opin Psychol, 2024 Aug; 58: 101845 DOI:10.1016/j.copsyc.2024.101845
      PMID: 39018885
    • Journal Article
      Comparative Effectiveness of Three Digital Interventions for Adults Seeking Psychiatric Services: A Randomized Clinical Trial.
      Horwitz AG, Mills ED, Sen S, Bohnert ASB. JAMA Netw Open, 2024 Jul 1; 7 (7): e2422115 DOI:10.1001/jamanetworkopen.2024.22115
      PMID: 39023893
    • Journal Article
      Duration of New-Onset Depressive Symptoms During Medical Residency.
      Kim E, Sinco BR, Zhao J, Fang Y, Cunningham C, Frank E, Sen S, Bohnert A, Hughes TM. JAMA Netw Open, 2024 Jun 3; 7 (6): e2418082 DOI:10.1001/jamanetworkopen.2024.18082
      PMID: 38904957
    • Journal Article
      Intensive longitudinal assessment following index trauma to predict development of PTSD using machine learning.
      Horwitz A, McCarthy K, House SL, Beaudoin FL, An X, Neylan TC, Clifford GD, Linnstaedt SD, Germine LT, Rauch SL, Haran JP, Storrow AB, Lewandowski C, Musey PI, Hendry PL, Sheikh S, Jones CW, Punches BE, Swor RA, Hudak LA, Pascual JL, Seamon MJ, Harris E, Pearson C, Peak DA, Domeier RM, Rathlev NK, Sergot P, Sanchez LD, Bruce SE, Joormann J, Harte SE, Koenen KC, McLean SA, Sen S. J Anxiety Disord, 2024 Jun; 104: 102876 DOI:10.1016/j.janxdis.2024.102876
      PMID: 38723405
    • Journal Article
      Measuring algorithmic bias to analyze the reliability of AI tools that predict depression risk using smartphone sensed-behavioral data.
      Adler DA, Stamatis CA, Meyerhoff J, Mohr DC, Wang F, Aranovich GJ, Sen S, Choudhury T. Npj Ment Health Res, 2024 Apr 22; 3 (1): 17 DOI:10.1038/s44184-024-00057-y
      PMID: 38649446
    Featured News & Stories Dart flying toward target precision medicine
    News Release
    From ‘trial and error’ to targeted precision: $17.9M grant accelerates U-M mental health research
    A new major grant aims to bring the same precision to mental health care for depression, anxiety and other psychiatric conditions that already exists for cancer and heart disease.