Mark D. Risser
Staff Scientist | Earth and Environmental Sciences Area | Lawrence Berkeley National Laboratory
Adjoint Assistant Professor | Earth and Environmental Sciences Department | Vanderbilt University
Welcome to my personal website!
My primary goal as a statistician is to use data science, Bayesian modeling, and computational tools to identify and quantify climate change. My research focuses on statistical climatology, extreme value analysis, Gaussian processes, and Bayesian modeling.
Google Scholar | GitHub | CV
Recent News
- May, 2026: our paper titled gp2Scale: A Class of Compactly-Supported Non-Stationary Kernels and Distributed Computing for Exact Gaussian Processes on 10 Million Data Points was published in the ICML 2026 proceedings
- February, 2026: our paper titled Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes led by Muyang Shi was published in Journal of the American Statistical Association
- November, 2025: our paper titled Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data was published in Environmetrics
- May, 2025: our paper titled Upper bounds for 21st-century surface air temperatures in the Western United States was published in Environmental Research Letters