Her research programs aim at (1) advancing knowledge in cognitive sciences regarding evolving human interaction with the contemporary information technologies, (2) understanding and developing the coupling cognitive system to augment the performance in complex cognitive activities (such as learning), and (3) translating theories in social and behavioral sciences and computational models to the design of sociotechnical solutions and interaction experience to promote health communication and behavior across the lifespan. As a translational cognitive scientist, she conducts both use-inspired basic and applied research to examine the interaction between human minds and complex information environments in both individual and collective levels using mixed methods, such as controlled experiments, user studies, field studies, social media analysis, computational/predictive modeling and randomized controlled trials. Chin’s work has been funded by the National Institute of Health, Jump ARCHES, Cancer Center at Illinois, Mather Institute, etc.