Nicolas Buxbaum
About Nicolas Buxbaum
Nicolas Buxbaum is a Computer Vision Engineer with a background in Biological Systems Engineering. He holds a Master of Science from the University of California, Davis, and a Bachelor of Engineering from McGill University, and has experience in plant production system engineering and deep learning.
Work at IUNU
Nicolas Buxbaum has been employed at iUNU, Inc. as a Computer Vision Engineer since 2021. In this role, he applies his expertise in computer vision and deep learning to enhance plant production systems. His work contributes to the development of innovative solutions that improve efficiency and productivity in agricultural practices.
Education and Expertise
Nicolas Buxbaum earned a Master of Science in Biological Systems Engineering from the University of California, Davis, where he studied from 2018 to 2020. Prior to that, he completed a Bachelor of Engineering in Biological/Biosystems Engineering at McGill University from 2013 to 2017. His educational background provides a strong foundation in engineering principles related to biological systems.
Background
Nicolas Buxbaum has a diverse background in engineering and research. He worked as a Research Assistant at the Ecological Engineering Group within the Department of Bioresource Engineering at McGill University in 2015. Additionally, he served as a Graduate Teaching Assistant at the University of California, Davis, from 2019 to 2020, where he supported the educational development of students.
Research Experience
Nicolas Buxbaum has significant research experience in the field of engineering. He worked as a Research Assistant at the Biomass Production Laboratory in the Department of Bioresource Engineering at McGill University from 2016 to 2017. This role involved contributing to projects focused on biomass production and its applications in sustainable engineering.
Professional Skills
Nicolas Buxbaum possesses four years of experience in plant production system engineering and controls. He also has two years of experience in deep learning and computer vision, which are essential skills for his current role at iUNU. His technical abilities enable him to tackle complex challenges in agricultural technology.