Bo Lu

Bo Lu is a Professor of Biostatistics and Statistics at The Ohio State University. His research focuses on advancing early detection technologies for forest pathogens and pests using spectroscopy, machine learning, and metabolomics. He specializes in understanding plant defense mechanisms against invasive species and climate-driven disease dynamics.

Key research areas include:

• Non-invasive disease diagnostics via FT-IR/Raman spectroscopy
• Machine learning applications in plant health monitoring
• Molecular basis of plant-pathogen interactions
• Environmental risk modeling for emerging forest diseases

Notable projects include developing early detection systems for ash dieback, beech leaf disease, and soybean cyst nematode infestations. His work integrates statistical modeling with biochemical analysis to improve forest biosecurity strategies globally.

He advocates for international collaboration in addressing the global forest health crisis through improved diagnostic frameworks and resistance breeding programs.