Mark Leone

Research Assistant at Stanford Doerr School of Sustainability

Palo Alto, California, United States
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job3 years of employment as a software developer
bookACE Program Biology (Ecology and Organismal Biology Focus), ACE Program Biology (Ecology and Organismal Biology Focus) at Florida Gulf Coast University
bookMaster of Science - MS Mechanical Engineering, Master of Science - MS Mechanical Engineering at Stanford University
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Github Skills (5)

boost6
serialization6
jekyll4
audio1
music1

Programming languages (2)

HTMLJupyter Notebook

Github contributions (5)

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markendo/markendo.github.io

Jul 2021 - May 2023

Contributions:39 pushes, 1 branch in 1 year 10 months
rajpurkarlab/CXR-RePaiR

Mar 2022 - Aug 2022

Contributions:5 commits, 4 pushes in 4 months
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Mark Leone - Research Assistant at Stanford Doerr School of Sustainability