Jérémie Deray

Jérémie Deray

Senior Engineer @ Canonical

About Jérémie Deray

Jérémie Deray is a Senior Engineer at Canonical in Montréal, Québec, specializing in robotics navigation and utilizing tools such as C++, Python, and ROS. He has a strong background in simultaneous localization and mapping, state estimation, and non-linear optimization, with previous experience at PAL Robotics.

Work at Canonical

Jérémie Deray has been employed at Canonical as a Senior Engineer since 2022. His role involves utilizing advanced tools such as C++, Python, and ROS to contribute to various engineering projects. Prior to his current position, he worked as a Software Engineer at Canonical from 2019 to 2022, where he gained valuable experience in software development and engineering practices.

Education and Expertise

Jérémie Deray holds a Master's degree in Computer Vision from Université de Bourgogne, which he completed from 2012 to 2014. He further pursued a Doctor of Philosophy (PhD) in Control, Robotics, and Vision at Universitat Politècnica de Catalunya from 2015 to 2020. His educational background is complemented by a DUT in Electrical Engineering and a Bachelor's degree in Industrial Control using Artificial Vision, both obtained from IUT Le Creusot.

Background in Robotics

Jérémie Deray has a strong background in robotics, having worked at PAL Robotics as a Robotics Engineer from 2014 to 2019. During this period, he specialized in robotics navigation, focusing on mobile-base motion planning and sensor fusion. He also completed a brief internship as a Research Intern at PAL Robotics in 2014, which provided him with foundational experience in the field.

Technical Skills and Interests

Jérémie Deray possesses expertise in simultaneous localization and mapping, as well as state estimation. He has a strong interest in non-linear optimization and actively engages in open-source projects. His technical skills are primarily centered around robotics and software development, utilizing programming languages and tools that are essential for modern engineering challenges.

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