Chenglin Hong is a second-year Ph.D. student in Social Welfare at the UCLA Luskin School of Public Affairs. He earned his MSW/MPH dual-degree from the School of Social Work and Department of Global Health at the University of Washington, Seattle (UW).
Chenglin’s research focuses on health disparities among sexual and gender minorities (SGM). He is particularly interested in designing, testing, and implementing technology-based interventions (TBIs) to promote sexual and mental health in the SGM populations. His current work with Dr. Ian Holloway aims to develop Machine Learning models to understand sexual risk behaviors and substance abuse among gay, bisexual, and other men who have sex with men (MSM) and apply them in HIV-related behavioral research. His long-term goal is to develop effective, evidence-based TBIs to reduce risks and promote pre-exposure prophylaxis (PrEP) for HIV prevention.
Chenglin has been working with multidisciplinary research centers and teams from the Emory University, University of Michigan, Columbia University, and the University of Washington on various HIV prevention research projects, and his work has been published on AIDS and Behaviors, Journal of Medical Internet Research, etc.
Hong C, Horvath KJ, Stephenson R, et al. PrEP Use and Persistence Among Young Sexual Minority Men 17–24 Years Old During the COVID-19 Pandemic. AIDS Behav. Published online August 13, 2021. doi:10.1007/s10461-021-03423-5
Hong C, Puttkammer N, Riabokon S, et al. Patient-Reported Treatment Satisfaction and Quality of Life Among People Living with HIV Following the Introduction of Dolutegravir-Based ART Regimens in Ukraine. AIDS Behav. Published online September 13, 2021. doi:10.1007/s10461-021-03461-z
Robles G, Hong C, Yu M, Starks TJ. Intersecting Communities and PrEP Uptake among US-based Latinx Sexual Minority Men. J Racial and Ethnic Health Disparities. Published online September 23, 2021. doi:10.1007/s40615-021-01154-w
Ovalle A, Goldstein O, Kachuee M, Wu ESC, Hong C, Holloway IW, et al. Leveraging Social Media Activity and Machine Learning for HIV and Substance Abuse Risk Assessment: Development and Validation Study. Journal of Medical Internet Research. 2021;23(4):e22042. doi:10.2196/22042