Yonatan Shimoni
About Yonatan Shimoni
Yonatan Shimoni is an Algorithm Researcher with experience in developing algorithmic and perception solutions for advanced driver-assistance systems. He has worked at SpaceIL and LeddarTech, and has a strong academic background in planetary sciences and geophysics.
Current Role at LeddarTech
Yonatan Shimoni serves as an Algorithm Researcher at LeddarTech, a position he has held since 2021. In this role, he is part of the sensors alignment and calibration team, where he focuses on developing algorithmic and perception solutions for advanced driver-assistance systems (ADAS) ranging from levels 3 to 5. His work involves providing solutions for various sensor technologies, including cameras, LiDARs, and radars. He employs both classic and deep learning-based approaches to enhance sensor performance and reliability.
Previous Experience at SpaceIL
Prior to his current position, Yonatan Shimoni was a member of the science team at SpaceIL from 2018 to 2019. His role contributed to the organization's efforts in space exploration, specifically in projects related to lunar missions. This experience provided him with a solid foundation in scientific research and teamwork within a high-stakes environment.
Research Background at Weizmann Institute of Science
Yonatan Shimoni worked as a researcher at the Weizmann Institute of Science from 2017 to 2021. During his four years there, he engaged in various research projects that contributed to advancements in planetary sciences. His experience at this prestigious institution enhanced his analytical skills and deepened his understanding of scientific methodologies.
Educational Qualifications
Yonatan Shimoni holds a Master of Science (MS) degree in Planetary Astronomy and Science from the Weizmann Institute of Science, which he completed between 2018 and 2020. Prior to this, he earned a Bachelor of Science (BS) degree in Geophysics and Planetary Sciences from Tel Aviv University, graduating in 2017. His educational background has equipped him with a strong foundation in scientific principles and research techniques.