James Han
Quantitative Agricultural Scientist
Lincoln, Nebraska, United States
Summary
👤
Senior🎓
Top SchoolJames Han is a Quantitative Agricultural Scientist with a PhD and roughly a decade of experience applying data science, remote sensing, and software engineering to crop modeling, carbon accounting, and sustainable agriculture. He blends deep agronomic domain knowledge with practical skills in Python, R, Spark, GIS, and AWS to build models and pipelines that have improved crop stage predictions and accelerated GxE analyses from months to minutes. At CIBO he leads sensitivity analyses and data ingestion efforts that inform Verra carbon project registrations, and previously developed CNNs and 30+ crop models for commercial irrigation at Lindsay Corporation. Known as a "lover of data," he pairs experimental design and mixed-model statistics with ML and deep-learning where appropriate, and has a track record of converting field trials and satellite imagery into production-ready insights. Notably, his work has directly influenced fertilizer and tillage recommendations and automated complex feature-selection workflows for large-scale agronomic decision-making.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Agronomy Technology, Doctor of Philosophy (Ph.D.) Agronomy Technology at University of Nebraska-LincolnMaster of Science (M.S.) Grassland Science, Master of Science (M.S.) Grassland Science at South China Agricultural UniversityBachelor's degree (B.S.) Plant Protection and Integrated Pest Management, Bachelor's degree (B.S.) Plant Protection and Integrated Pest Management at South China University of Tropical Agriculture
English, ChineseProgramming languages (1)
Github contributions (5)
itsjameshan/tweet-gary
Aug 2017 - May 2021
Contributions:140 pushes, 1 branch in 3 years 10 months
Contributions:40 commits, 38 pushes, 1 branch in 8 months
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