W. Scott Comulada, DrPH, is a Professor-in-Residence with joint appointments in the UCLA Department of Psychiatry and Biobehavioral Sciences and the Department of Health Policy and Management. He also directs the Semel Institute Center for Community Health, leads the subcommittee on XR in Health and Wellness for the UCLA XR Initiative, serves as a board member for the South Central Family Health Center in Los Angeles, and has served in various roles for the Center for HIV Identification, Prevention, and Treatment Services (CHIPTS) Methods Core since 2007. He has been a statistician on numerous HIV clinical trials and observational studies, including his role as an Analytic Core Project Lead for a U19 funded through the Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN). His methodological interests include the analysis of longitudinal data and the development of predictive algorithms using machine learning and artificial intelligence methods. His current research focuses on the development of large language model chatbots and virtual simulations to support clinical training and patient care. He has also taught graduate courses on statistical methods that cover longitudinal modeling, causal inference, and machine learning methods and serves on dissertation committees across several departments in the UCLA Fielding School of Public Health.