Projects

Selected research projects spanning statistical inference, dependence modeling, public health, and AI assessment.

Latent-variable inference

Maximum Ideal Likelihood Estimation: a unified framework that parameterizes latent quantities for scalable inference.

Insurance & spatial risk

Dependence-aware analysis of large insurance claims using spatial factor copula models.

Changes in mental-health trajectories

Causal and change-point methods for replicated multivariate time series.

Bias and practice of AI systems

Empirical studies of visual-AI bias and global generative-AI adoption.