Statistics &
experimental design
Statistical modeling, inference, experimental design, and interpretable analysis for complex scientific questions.
- Modeling
- Inference
- Study design
Statistics · Data · AI
Yuhang (Tom) Lin
Statistics Research Scientist
I bring statistical rigor, modern computing, and practical AI together to make complex scientific work more reliable and useful.
Expertise
From sound methods to useful systems.
My work sits at the intersection of statistical thinking, scientific problem-solving, and modern technical tools.
Statistics &
Data science &
machine learning
Reproducible analysis, visualization, predictive methods, and scientific computing that turn data into reliable evidence.
- R
- Python
- SQL
AI-enabled
research workflows
Practical tools that connect models and organizational knowledge to support more effective scientific work.
- Applied AI
- Agents
- Workflows
Background
Industry-focused,
research-trained.
I am a Statistics Research Scientist at Corteva Agriscience, supporting research and development through statistics, data science, and emerging AI technologies. My work focuses on turning complex scientific questions into reliable, interpretable, and practical solutions.
I earned my Ph.D. in Statistics from Iowa State University in July 2026. I also hold an M.Phil. and a B.Sc. in Statistics with First Class Honours from The Chinese University of Hong Kong. That combination of theoretical training and industry experience shapes how I approach practical problems: carefully, clearly, and with an eye toward tools people can depend on.
Connect
Let’s stay in touch.
LinkedIn has my current professional background, while GitHub hosts my public technical work.