Aurora
Dan Monga Kilanga is an Autonomy Software Engineer specializing in motion planning at Aurora since July 2022, focusing on algorithms for self-driving vehicles. Previously, Dan served as a Research Assistant at the Georgia Institute of Technology from August 2016 to May 2022, collaborating under Professor Hutchinson on multiagent learning and decision-making under uncertainty, while also fulfilling roles as a Teaching Assistant for various engineering courses. Dan’s experience includes an internship at Uber as an Autonomy Software Engineer Intern, where algorithms for on-board pose estimation were developed, and a Staff Engineer position at the Maryland Development Center, where automation devices for medical procedures were designed. Dan’s academic credentials include a PhD and MS in Electrical Engineering from the Georgia Institute of Technology, a BS in Electrical Engineering from the University of Maryland, and an AS in Electrical Engineering from Anne Arundel Community College.
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Aurora
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Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly. Founded in 2017 by experts in the self-driving industry, Aurora is revolutionizing transportation – making it safer, increasingly accessible, and more reliable and efficient than ever before. Its flagship product, the Aurora Driver, is a platform that brings together software, hardware, and data services, to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is partnered with industry leaders across the transportation ecosystem including Toyota, Uber, Volvo, FedEx, and PACCAR.