Conor Mcmahon is a graduate student researcher at UCSB with nine years of interdisciplinary experience applying robotics, LiDAR, and multispectral satellite imagery to vegetation monitoring and species classification in arid and Mediterranean ecosystems. He blends mechanical and aerospace structures experience—gained at SpaceX, NASA, and energy firms—with hands-on field ecology and computer vision to scale landscape-level surveys of drought stress and woody-plant composition. His background designing autonomous LiDAR inspection pipelines for underground tunnels informs robust data-collection workflows in challenging environments. Based in Austin, he pairs a PhD focus in geography with MS and BS degrees in mechanical engineering and biology, enabling a rare combination of ecological insight and engineering rigor. Colleagues cite his ability to translate robotic sensing techniques into practical ecological monitoring tools that anticipate stressors before they become visible.
10 years of coding experience
12 years of employment as a software developer
Master of Science - MS Mechanical Engineering, Master of Science - MS Mechanical Engineering at The University of Texas at Austin
Doctor of Philosophy - PhD Geography, Doctor of Philosophy - PhD Geography at UC Santa Barbara
Stitches together planar laser scans into a pointcloud.
Contributions:55 commits, 27 pushes in 1 year 10 months
point-cloud
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