Jeffrey Berry is a Statistical Scientist and adjunct faculty member with nine years of experience applying biostatistics, image analysis, and computational methods in plant science and pharmaceutical settings. He currently works at Bayer while teaching at Webster University, blending applied industry analytics with academic mentorship. His background includes senior data and computational scientist roles at the Donald Danforth Plant Science Center and research work at Washington University, where he developed R packages and handled two-photon imaging analysis. An active open-source contributor, he implemented imaging algorithms such as a distance_transform function for the widely used PlantCV phenotyping toolkit, showing a knack for translating research problems into reusable code. With dual degrees in Biology and Mathematics and a Master’s in Biostatistics, he pairs rigorous quantitative training with hands-on lab and clinical experience, from proteomics to veterinary tech work.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Biology/Biological Sciences, General, Bachelor of Science (BS), Biology/Biological Sciences, General at Webster University
Master’s Degree, Biostatistics, Master’s Degree, Biostatistics at Washington University in St. Louis
Contributions:12 commits, 3 PRs, 4 branches in 2 years 6 months
Contributions summary:Jeffrey contributed to the project by adding and modifying functions related to image analysis, specifically focusing on distance transform calculations. They implemented a `distance_transform` function and integrated it into the project. They also corrected various typos in the code and fixed references in the test files.
Contributions:7 PRs, 104 pushes, 11 branches in 3 years 8 months
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