Summary
Daniel Childs is a Principal Geological Engineer with 11 years of hands-on experience solving complex open-pit mining slope stability challenges and commercializing AI-driven geotechnical tools. Trained with an M.Eng. in Geotechnics, he blends traditional rock mechanics, probabilistic slope analysis and field instrumentation with software engineering—recently developing slope-stability software that applies machine learning to improve assessment accuracy and efficiency. At Call & Nicholas he pioneered AI methods to automatically cluster borehole televiewer fracture orientations and created DronePlan3D to capture consistent high-resolution point clouds across variable bench topography. Comfortable bridging operations and research, he has deployed and monitored diverse instrumentation (RTS, SSR, LIDAR, extensometers) to translate data into actionable risk-reduction strategies. Based in Tucson, he combines practical mine-site experience with a knack for automation that makes geotechnical workflows faster, more reproducible, and less subjective.
11 years of coding experience
16 years of employment as a software developer
Master of Engineering (M.Eng.), Geotechnics, Master of Engineering (M.Eng.), Geotechnics at University of Missouri-Rolla
Bachelor of Science, Geological Engineering, Bachelor of Science, Geological Engineering at University of Nevada, Reno
English