Abhi develops statistical and machine learning methods for large spatial datasets as well as Bayesian models for multi-source epidemiological datasets.

Aki uses Bayesian methods and statistical computing to tackle methodological challenges in healthcare analytics and large-scale biomedical applications.

A major component of my research focuses on quantifying the health impacts of climate-related hazards and modelling population dynamics using detailed and large datasets, on scales ranging from small-area to multi-country, for which Bayesian modelling can afford numerous advantages. In this seminar, I will highlight some of my major research efforts on climate, health, and equity, including several recent and ongoing studies in the United States, Chile, and the Philippines. Focus topics will include natality and mortality disparities, studies of the association of health-relevant outcomes with heat stress, tropical cyclones, and wildfires, and ongoing work on climate change and health attribution.