About me

I’m Didier Murillo, an agricultural data scientist: a statistician by training and a developer by calling. I work in digital agriculture at North Dakota State University (NDSU), in Fargo.

My work sits where field trials meet predictive modeling: I design experiments, build models that combine genomic and phenotypic data to predict performance in plant breeding, and separate real genetic signal from the spatial noise of the field.

I also build satellite crop-monitoring pipelines that turn vegetation indices into field-level forecasts and stress alerts, and I turn models into R packages, Shiny apps and APIs, so researchers, breeders and growers can use them without writing code.

Along the way I’ve built production R Shiny software for clinical trial review in the pharmaceutical industry, which taught me to ship tested, traceable software in a regulated environment.

Outside of work I love reading, traveling and learning about investing.