Jason Chen

Jason Chen has a diverse work experience in research and engineering. Starting in 2013, they worked as a Car Door System Engineer at GAC R&D for four years. In 2017, they transitioned to a Research Assistant role at Michigan State University, where they worked until 2022. During this time, they gained experience in research and academic settings. In 2022, Jason had two internship roles, first as a GPU Deep Learning/Software Engineering Intern at Intel Corporation, and later as a Research Scientist Intern at Black Sesame Technologies Inc. Jason developed a semi-supervised learning algorithm and improved object detection models. In 2023, they joined Black Sesame Technologies Inc as a Research Scientist. Overall, Jason has a strong background in research, engineering, and algorithm development.

Jason Chen's education history begins with earning a Bachelor of Science degree in an unspecified field of study from Guangdong University of Technology. Following this, they pursued a Master of Science degree at Beijing Institute of Technology, with the specific field of study unknown. Jason then proceeded to obtain a Master's degree in Computer Science from Georgia Institute of Technology. Finally, they completed their academic journey by earning a Doctor of Philosophy degree in Mechanical Engineering from Michigan State University.