WU Yin
Professor
Email: [email protected]
Research Interests: psychiatric epidemiology, big data in psychology, mental health screening
Bio
Dr. Yin Wu is a tenured full professor and principal investigator of the School of Public Health at the Shanghai Jiao Tong University School of Medicine. Dr. Wu conducts cross-disciplinary research in psychiatric epidemiology, and public health management and quantitative psychology. Her research dual focuses on both application of big data analysis methodology and psychometrics in improving physical and mental health and well-being. She contributes to the international collaborative DEPRESsion Screening Data (DEPRESSD) Project as a steering committee member. As the principal investigator, Dr. Wu has secured funds from the National Natural Science Fund China, the Quebec government (Canada) and not-for-profit organizations. Since 2020, Dr. Wu has published 41 peer-reviewed articles, first-authored on eight, including five in leading journals, e.g. BMJ, Psychotherapy and Psychosomatics, Psychological Medicine. Her article of verifying the equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9 was the ESI highly cited paper of 2021 and cited by researchers worldwide for over 330 times. Dr. Wu has also served as a peer reviewer for JAMA Psychiatry, Psychotherapy and Psychosomatics, Psychological Medicine, and so on.
Education and Training
Postdoctoral Fellow, Quantitative Psychology, McGill University May 2018 to August 2022
Ph.D., Educational Psychology and Quantitative Methods, State University of New York at Buffalo (University at Buffalo) September 2017
M.A., Educational Psychology, University at Buffalo June 2013
M.Sc., Applied Psychology, South China Normal University, China June 2011
B.S., Psychology, South China Normal University, China June 2008
Research Positions Held
Professor March 2024 (ongoing)
School of Public Health, Shanghai Jiao Tong University, Shanghai, China.
Research Associate September 2022 to March 2024
Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada.
DEPRESSD Project
Postdoctoral Associate October 2017 to April 2018
Office of Institutional Analysis, University at Buffalo.
Published Peer-Reviewed Journal Articles
Wu Y, Sun Y, Liu Y, Levis B, Krishnan A, He C, Neupane D, Patten SB, Cuijpers P, Ziegelstein RC, Benedetti A, Thombs BD. Depression Screening Tool Accuracy Individual Participant Data Meta-analyses: Data Contribution was Associated with Multiple Factors. J Clin Epidemiol. 2023;162:63-71. doi: 10.1016/j.jclinepi.2023.08.006.
Wu Y, Levis B, Daray FM, et al. Comparison of the accuracy of the 7-item HADS Depression subscale and 14-item total HADS for screening for major depression: A systematic review and individual participant data meta-analysis. Psychol Assess. 2023;35(2):95-114. doi: 10.1037/pas0001181.
Wu Y, Levis B, Sun Y, et al. Accuracy of the Hospital Anxiety and Depression Scale Depression Subscale (HADS-D) to Screen for Major Depression: Systematic Review and Individual Participant Data Meta-analysis. BMJ. 2021; 10;373:n972. doi: https://doi.org/10.1136/bmj.n972.
Wu Y, Levis B, Ioannidis JPA, Benedetti A, Thombs, BD, DEPRESsion Screening Data (DEPRESSD) Collaboration. Probability of major depression classification based on the SCID, CIDI and MINI Diagnostic Interviews: a synthesis of three individual participant data meta-analyses. Psychother Psychosom. 2021;90:28-40. doi: 10.1159/000509283.
Wu Y, Kwakkenbos L, Henry RS, et al. Factors associated with fears due to COVID-19: a Scleroderma Patient-centered Intervention Network (SPIN) COVID-19 Cohort study. J Psychosom Res. 2020;140:110314.
Wu Y, Kwakkenbos L, Henry RS, et al. Validation of the COVID-19 Fears Questionnaires for Chronic Medical Conditions: a Scleroderma Patient-Centered Intervention Network COVID-19 Cohort study. J Psychosom Res. 2020;139:110271. doi: 10.1016/j.jpsychores.2020.110271.
Wu Y, Levis B, Sun Y, et al. Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression Subscale scores: an individual participant data meta-analysis of 73 primary studies. J Psychosom Res. 2020;129:109892. doi: 10.1016/j.jpsychores.2019.109892.
Wu Y, Levis B, Riehm KE, et al. Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis. Psychol Med. 2020;50(8):1368-1380. https://doi.org/10.1017/S0033291719001314. (ESI Highly Cited Paper of 2021)
Awards & Honors
Shanghai Magnolia Award, Shanghai Municipality. 2023
McGill MedStar Award for Trainees, McGill University. 2022
Lady Davis Institute for Medical Research, Paper of the Month. July 2021, Lady Davis Institute for Medical Research 2021
The Fonds de Recherche Québec - Santé (FRQS, Quebec Health Research Fund) Postdoctoral Training Fellowship, FRQS 2019-2021
Utting Postdoctoral Fellowship for Studies in Depression, Department of Psychiatry, McGill University (Declined – Accepted only training supplement). 2019
Utting Postdoctoral Fellowship for Studies in Depression, McGill University. 2018
The Peter Drapiewski Scholarship, Graduation School of Education, University at Buffalo. 2016
American Educational Research Association (AERA) Grants Program – Institute on Statistical Analysis: Causal Analysis Using International Data. (Funded by National Science Foundation) 2015