معرفی
Kaigang Li is an Adjunct Assistant Professor at Yale School of Medicine (Yale University), specializing in public health and traffic safety research. His work focuses on adolescent and young adult behaviors related to impaired driving, alcohol-related risks, and preventive strategies. He collaborates with interdisciplinary teams to model complex behavioral systems and evaluate intervention outcomes.
Research interests include traffic safety, substance abuse prevention, and community health initiatives. Notable projects involve system dynamics modeling of impaired driving trends and mixed-methods assessments of social-environmental factors influencing risky driving behaviors. Dr. Li has contributed to studies on parental monitoring's protective effects against recurrent drunk driving and feasibility trials of community gardening health impacts.
Recent publications (2024-2025) emphasize systems approaches to address alcohol-impaired driving fatalities and the role of social contexts in youth decision-making. His work is supported by collaborations with institutions like the DrivSim research group, focusing on translational traffic safety solutions.
Labs/Teams: Active contributor to the DrivSim initiative, applying systems science to traffic safety challenges.
