Summary
Mark Leone is a multidisciplinary engineer and research assistant with a decade of experience blending robotics, remote sensing, and ocean science to solve environmental problems. Based at Stanford, he develops data-driven control algorithms and builds aerial and ground sensor networks for wildfire air-toxicity monitoring, while leading conservation-focused robotics missions that applied AI to extract shark biometrics from drone video. His background spans soft-robotics hardware, mesoscale oceanographic fieldwork, toxicology assays, and operational diving, giving him rare hands-on fluency from lab assays to system-level autonomy. Known for integrating sensors, computer vision, and systems engineering, he routinely bridges collaborations between engineers, chemists, foresters, and field crews to deploy real-world experiments. A Rhodes of practical curiosity: he pairs advanced algorithm development with CAD and teleoperation work (including Apple Vision Pro integration) to advance marine and environmental robotics.
9 years of coding experience
3 years of employment as a software developer
ACE Program Biology (Ecology and Organismal Biology Focus), ACE Program Biology (Ecology and Organismal Biology Focus) at Florida Gulf Coast University
Master of Science - MS Mechanical Engineering, Master of Science - MS Mechanical Engineering at Stanford University