My research unites generative AI, diffusion models, and Bayesian inference to build systems that learn under uncertainty and operate at scale. I combine statistical rigor with deep learning to design interpretable and efficient models for biomedical data, human tracking, and predictive analytics, advancing trustworthy AI solutions across science, health, and industry.