Paper 'Distal Causal Excursion Effects: Modeling Long-Term Effects of Time-Varying Treatments in Micro-Randomized Trials' accepted by Biometrics (Aug. 2025)
Paper 'Modeling time-varying effects of mobile health interventions using longitudinal functional data from Heartsteps micro-randomized trial' accepted by Annals of Applied Statistics (Apr. 2025)
Developed R package 'MRTAnalysis' with functions dcee() and mcee() for distal and mediated causal excursion effect estimation (Sep. 2025)
Multiple preprints on arXiv covering causal inference, dynamic mediation, and MRT design
Ph.D. student Jiaxin Yu awarded 'The Beall Family Foundation Graduate Student Social Impact Award in Statistics' (Apr. 2025)
Ph.D. student Jeremy Lin’s AAIC submission accepted as a poster (Apr. 2025)
Invited talk at Banff Workshop on 'Causal inference and machine learning in mobile health' (Feb. 2025)
Background
Assistant Professor in the Department of Statistics at University of California, Irvine
Affiliated with UCI's Alzheimer's Disease Research Center (ADRC) and Institute for Future Health (IFH)
Research focuses on developing data science tools for optimizing adaptive digital interventions
Key research areas: causal inference in longitudinal settings with time-varying treatments, experimental design for micro-randomized trials (MRTs) in mHealth, and policy learning from offline/online data
Collaborates with scientists across domains including physical activity, substance abuse, smoking cessation, weight management, drinking behavior, and anger management
Additional research interests: semiparametric efficiency theory, clinical trial design and analysis, Alzheimer’s disease and related dementia