Our teaching pairs sound statistical reasoning with hands-on, reproducible computing. Students learn to design experiments, analyze real agricultural data, and write code they can reuse in their own research — building the quantitative and programming skills that modern plant breeding and crop science demand.
Graduate courses in statistics and statistical computing for the agricultural sciences.
Advising students and researchers across statistics, genetics, and computer science.
Meet the people behind the work on our Team page.
Interested in graduate study in agricultural statistics, quantitative genetics, or data science for plant breeding? Reach out to discuss opportunities.
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