Driven by Curiosity
Population Health Data Science (PHDs) Research Group
Discover, Innovate, Transform
About the group
PHDs research lab mainly focuses on developing tools to better classify and characterize individuals at different risk levels of common mental disorders and predict various disease trajectories. As more and more people suffer from both mental disorders and chronic physical diseases, i.e., cardiovascular diseases, PHDs research lab is also dedicated to predict the co-occurrence of common mental disorders and cardiovascular diseases.
By leveraging a wide range of analytic techniques, these tools such as risk prediction and characterization algorithms comprehensively take into the roles of biological (genetic predispositions, epigenetic aging markers, etc.), psycho-socio environmental risk factors (social support, ways of coping, personality, stressors, etc.), and their interplay in the occurrence and prognosis of these diseases across the life span, especially focusing on factors and characteristics with translational values in prevention strategies and health promotion.
Heart and Well-Being
Population Mental Health
Risk Characterization in Depression
Investigating how our heart and mind are connected and developing strategies for earlier identification of co-occurrence between heart and the mind.
Researching large population-based studies and leveraging advanced statistical reasoning and machine learning in diagnosing diseases, predicting patient outcomes, and optimizing healthcare processes.
Studying threats and vulnerabilities in identifying depression, as well as developing strategies to detect differences in depression diagnosis and prognosis.