Mortality and morbidity outcomes from extreme weather exposures using large-scale Medicare data and distributed lag non-linear models.

Disease progression modeling for Alzheimer's disease and ADRD—integrating clinical, proteomic, and imaging biomarkers with event-based models.

Scalable machine learning methods for biomedical heterogeneity, subtype discovery, survival analysis, and causal inference in clinical datasets.

Statistical harmonization and analysis of high-dimensional proteomics and genomics data for biomarker discovery in aging and neurological disease.

Leveraging CMS Medicare and other large administrative databases to study how environmental and social exposures interact over the lifecourse.

Building India-focused research on neurodegenerative disease, climate-health interactions, and digital health infrastructure at IIT Bombay's KCDH.