Jiaxin Wang, Ph.D., is a postdoctoral associate at Cornell University. He earned his Ph.D. in Forest Ecophysiology from Mississippi State University, where he developed AI-driven tools to enhance forest research, including StoManager1 and SapFlower, which revolutionized stomatal and sap flow data analysis. Dr. Wang also holds a Master’s in Ecology from South China Agricultural University. Dr. Wang has authored over 15 first-authored peer-reviewed publications and co-authored 16 patents, focusing on forest resilience, bioenergy, ecological restoration, and AI applications in forestry. His research integrates remote sensing, machine learning, and eco-physiological modeling to address climate change impacts on forests. He has received multiple awards, including Mississippi State’s Graduate Research Assistant of the Year, Moehring Outstanding Graduate Student Award, and several conference honors. A member of the American Society of Plant Biologists, AGU, and Xi Sigma Pi, Dr. Wang also contributes as a peer reviewer for journals such as New Phytologist, Plant Physiology, Plant Communications, and Plant Phenomics. His interdisciplinary expertise bridges cutting-edge computational tools with practical solutions for sustainable forest and environmental management.