FielDHub | About Us

FielDHub Team:

FielDHub is a result of the collaboration of an international group of researchers including statisticians, plant breeders, and quantitative geneticists who want to facilitate the generation of complex experiment trials with large numbers of entries.

Didier Murillo

I am a statistician and programmer. At NDSU, I work as a statistical consulting and R/shiny developer as well as supporting breeding teams with the maintenance of databases and statistical analysis using automated scripts. I was responsible for most of the code developed and building this shiny app.

Salvador Gezan, Ph.D.

I am a statistical quantitative geneticist with experience in Linear Mixed Models applied to plant and animal breeding. I usually work providing guidance and leadership to breeding teams in projects related to the development of applications and analysis of large datasets, such as the NDSU breeding programs.

Ana Heilman Morales, Ph.D.

I am a plant breeder and data scientist with experience in statistical analysis and data visualizations. I support plant breeders/faculty, staff and students with their data analytic needs and I lead the expansion of technology transfer and deployment of software products that supports NDSU breeding operations.

Matthew Seefeldt

I am a mathematician and undergraduate student at NDSU. I contributed to the updated version of FielDHub, adding functionality for heatmaps and experiments over multiple locations, among other things. I also wrote documentation and vignettes for FielDHub.

Johan Aparicio

I am a statistician, and I am very passionate about statistical analysis, web development, and visualizations, which is combined with my desire for accelerating precise decision-making processes. In plant breeding I currently lead work on the development of applications designed to automate routine agricultural tasks.

Richard Horsley, Ph.D.

I am the Head of the Department of Plant Sciences and barley breeder at North Dakota State University. The primary goal of my breeding project is to release and develop two-rowed and six-rowed malting barley varieties acceptable to barley producers in North Dakota, adjacent states, and the malting and brewing industry. I am also the leader of the Breeding Pipeline Database Managers team and I provide guidelines and support on the statistical analysis.