Bence Cserna
About Bence Cserna
Bence Cserna is a Senior Research Scientist at Motional in Boston, Massachusetts, specializing in autonomous vehicle technology. He holds a PhD in Computer Science from the University of New Hampshire and has experience in both academic and industry research.
Work at Motional
Bence Cserna has been working at Motional as a Senior Research Scientist since 2020. He is based in Boston, Massachusetts, where he focuses on advancing autonomous vehicle technology. Prior to his current role, he served as a Research Scientist at Motional from 2019 to 2020. His work involves applying his expertise in real-time planning and autonomous systems to contribute to the development of innovative solutions in the field.
Education and Expertise
Bence Cserna earned a Doctor of Philosophy (PhD) in Computer Science from the University of New Hampshire, where he studied from 2013 to 2019. His research focused on real-time planning, which has significant implications for autonomous vehicle technology. He also holds a Master of Science (MSc) in Networks and Services from Budapesti Mûszaki és Gazdaságtudományi Egyetem, obtained between 2011 and 2013, and a Bachelor of Science (BSc) in Info-communication Networks and Services from the same institution, completed in 2011. Additionally, he studied Parallel and Distributed Programming at the University of New Hampshire in 2012.
Background
Bence Cserna has a diverse background that spans both academic and industry environments. He worked as a Teaching Assistant at the University of New Hampshire from 2013 to 2014. His industry experience includes positions at Lyft as an AI Research Scientist Intern in 2018, nuTonomy as an Autonomous Vehicle Research Intern in 2017, and Ericsson as a Consultant and Software Developer from 2010 to 2013 in Budapest, Hungary. This combination of experiences has equipped him with a comprehensive understanding of research and development in technology.
Internship Experience
Bence Cserna has completed multiple internships that contributed to his expertise in autonomous vehicle technology. He interned at nuTonomy in 2017 for three months, focusing on research related to autonomous vehicles. In 2018, he worked as an AI Research Scientist Intern at Lyft for three months in Palo Alto, California. These internships provided him with practical experience in applying theoretical knowledge to real-world challenges in the field of autonomous systems.