Alexander Bucksch

About Alexander Bucksch

Alexander Bucksch is a plant phenomisist and an associate professor in the School of Plant Sciences at University of Arizona. He has over 10 years of experience in developing and applying mathematical and computational methods to study plant morphology and physiology across scales and domains, from molecular to ecosystem level, and from above- to below-ground.His current research focuses on imaging and simulation approaches to understand and characterize the function of natural variation in agricultural plants. Specifically, he investigates how plant roots employ specialization in soil resource uptake to cooperate in acquiring water and dissolved nutrients to alleviate soil resource limitations. Such cooperative processes mitigate drought and nutrient deficiencies by increasing resource availability at the population level, ultimately resulting in better plant fitness. His research finds applications in agriculture to increase yields and ecology to improve ecosystem services.He has secured funding from the US National Science Foundation, the Advanced Research Projects Agency-Energy, and several public-private partnerships. He has published more than 60 papers in refereed venues, edited four books, and released plant phenotyping platforms that are used by over plant researchers and breeders worldwide. He has received the NSF CAREER Award, the Early Career Award of the North American Plant Phenotyping Network, and the Fred C Davison Award for his contributions to the field. He is also active in several scientific organizations and networks, such as the International Plant Phenotyping Network, the Gordon Research Conference on Collective Behavior, and as an associate editor for the Plant Methods and The Plant Phenome Journal. He is passionate about advancing plant phenomics as a new scientific discipline and promoting interdisciplinary collaboration and innovation in plant science.

Experience

1. Ippn Academic Chair

   International Plant Phenotyping Network - Ippn

   Oct 2024 — Present

Education

• Brandenburgische Technische Universität Cottbus-Senftenberg

  M.sc., Information and Mediatechnology

  2001 — 2006

Skills

• Mathematical Modeling
• Machine Learning
• Physics
• Algorithms
• Geometry
• Computational Biology
• Statistics
• Research
• Matlab
• Image Analysis
• Signal Processing
• Computer Science
• Computer Vision
• Data Analysis
• Image Processing
• Simulations
• Photogrammetry
• Remote Sensing
• Science
• Numerical Analysis
• Geographic Information Systems (Gis)