Trevor Harris

Scalable methods for climate science and environmental processes. Current work focuses on probabilistic machine learning, such as Bayesian deep learning, Gaussian processes, and deep generative models. I also work on robust functional data analysis methods for anomaly detection, changepoint detection, and spatiotemporal sequence comparisons.