Germano Neto
Lead Scientist & Product Manager, Enviromics For Digital R&D at Syngenta
City of Ithaca, New York, United States
Summary
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Top SchoolGermano Neto is an agronomist and quantitative geneticist with eight years of experience translating environmental data into actionable tools for crop breeding and digital R&D. Currently Lead Scientist and Product Manager for Global Enviromics at Syngenta Seeds, he designs and deploys analytical pipelines that integrate envirotyping, biostatistics, and breeding simulations to guide germplasm development across crops and regions. His background spans academia (PhD training and a postdoc in genomics at USP and Cornell) and applied consulting for CGIAR and seed companies, giving him rare fluency across theory, field trials, and production systems. Known for bridging technical depth with product ownership, he combines hands-on modeling and pipeline engineering with program-level coordination to scale environmental analytics. An early career in crop ecophysiology and geospatial trial design informs his pragmatic approach to making complex GxE insights operational.
7 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Genetics and Plant Breeding, Master of Science - MS, Genetics and Plant Breeding at Universidade Federal de GoiásUniversity of São Paulo
English, Spanish
Github Skills (8)
bioinformatics10
environmental10
systems-biology10
prediction10
ecology10
reaction10
biology9
gis9
Programming languages (1)
Github contributions (5)
allogamous/EnvRtype
Apr 2020 - Oct 2022
Provide tools for collecting environmental data from GIS-based platforms,enabling environmental characterization studies, providing environmental relatedness kinships and kernels for genomic prediction of reaction norms
Contributions:388 commits, 350 pushes in 2 years 6 months
systems-biologybioinformaticskernelsgischaracterization
gcostaneto/EnvRtype_course
Aug 2021 - Jul 2022
Contributions:78 commits, 76 pushes in 11 months
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