Germano Neto
Research Scientist - Quantitative Genetics & Breeding Systems
Johnston, Iowa, United States
Summary
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Senior🎓
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.
8 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 GoiásDoctor of Philosophy - Ph.D Quantitative Genetics and Plant Breeding, Doctor of Philosophy - Ph.D Quantitative Genetics and Plant Breeding at USP - Universidade de São PauloPostdoctoral Reseacher Evolutionary Quantitave Genomics, Postdoctoral Reseacher Evolutionary Quantitave Genomics at Cornell University
English, Spanish
Github Skills (1)
gis10
Programming languages (1)
Github contributions (5)
gcostaneto/EnvRtype_course
Aug 2021 - Jul 2022
Contributions:78 commits, 76 pushes in 11 months
gcostaneto/EGP
May 2021 - Oct 2021
Contributions:37 commits, 33 pushes, 1 branch in 4 months
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