Summary
Han Jiang is an undergraduate statistics researcher at UIUC with a decade of practical experience blending data analysis, fieldwork, and coding. He leads an ongoing ML study modeling soybean yield and seed nutrient composition under varying CO2 and O3 conditions using SoyFACE fumigation and climate data, translating complex experimental datasets into actionable insights. Comfortable in both lab and computational environments, he has run 100+ transplant trials and managed irrigation and pest-management workflows supporting 20+ researchers. Han pairs statistical training with hands-on Excel and investment-data work from an internship, and he codes enthusiastically in JavaScript for prototyping and tooling. Based in San Jose, he brings a rare combination of plant-science domain knowledge and machine-learning applied research skills that accelerate interdisciplinary projects. Expect a researcher who moves seamlessly between bench protocols and model development to drive reproducible, impact-focused results.
10 years of coding experience
University of Illinois Urbana-Champaign
Second High School Attached to Beijing Normal University