PhD student · Computational ecologist · DOE CSGF Fellow
Studying the timing of life in a changing climate.
I am a PhD student and DOE Computational Science Graduate Fellow at the University of Colorado Boulder. I build Bayesian generative models of phenology, the timing of growth, reproduction, and dispersal, and use machine learning and high-performance computing to understand how alpine and agricultural plants respond to an uncertain environment.
CU Boulder Ecology & Evolutionary Biology
DOE CSGF Computational Science Graduate Fellow
Phenology Alpine tundra & sunflower
What I work on
Phenology
The when of growth, maturation, reproduction, and dispersal, and why it shifts as the environment varies. Mostly alpine tundra and crops.
Generative models
Hierarchical, state-space, and latent-variable models that encode biological mechanism and quantify uncertainty honestly.
Computation at scale
Simulation-based inference and machine learning on high-performance computing systems, so the models can be as mechanistic as the biology demands.
Recent publications
2026
Divergent regional trends in alpine tundra productivity linked to changes in snow-free season length and summer warming
2025
Climate drives variation in optimal phenology: 46 years of multi-environment trials in sunflower
Accepted
Genetic-environment decomposition reveals geographical disparities in sunflower yield improvement across the Great Plains
