Trial design & analysis
Randomized, augmented and partially replicated (p-rep) designs, then linear mixed model analysis with spatial adjustment, through to genotype rankings you can defend.
Consulting & collaboration
Work with me
I work with breeding programs, research teams and ag-tech companies that have field, genomic or satellite data and a decision to make with it.
Start a conversationHow I can help
Predictive modeling
Genomic and phenomic prediction, machine learning and growth-curve forecasting, validated against what matters for selection, not only model fit.
Ag data pipelines & apps
Shiny apps, REST APIs and data pipelines, from satellite vegetation indices to trial databases, deployed with Docker so your team can use them every day.
Training & workshops
Hands-on training in R, Shiny, experimental design and mixed models for breeding teams, analysts and students.
How it works
01
Send a short email
A few lines about your data, your question and your timeline.
02
Scoping call
A short call to understand the problem and whether I'm the right fit.
03
Written proposal
Scope, deliverables and timeline in writing before any work starts.
Have a project in mind?
Tell me about your data and the decision you need to make. Or write to didier.statistician@gmail.com.