Siyuan Chen
About Siyuan Chen
Siyuan Chen is a Senior Scientist at percipient.ai, where he has worked since 2021. He has a diverse background in computer vision and data science, with previous positions at Honda Innovations, Abbott, and the U.S. National Library of Medicine.
Work at Percipient
Siyuan Chen has been employed at Percipient.ai as a Senior Scientist since 2021. In this role, Chen focuses on advancing the company's capabilities in artificial intelligence and machine learning. The position involves conducting research and development to enhance the efficiency and effectiveness of AI applications within various sectors.
Previous Experience in Computer Vision
Prior to joining Percipient.ai, Siyuan Chen worked as a Computer Vision Research Engineer at Honda Innovations from 2017 to 2020. In this capacity, Chen contributed to projects aimed at improving computer vision technologies. Chen also held a similar role at Honda R&D Americas, Inc from 2013 to 2015, where efforts were directed towards innovative research in the field.
Experience in Data Science
Siyuan Chen served as a Senior Data Scientist at Abbott for a brief period in 2020 to 2021. This role involved applying data science techniques to solve complex problems in healthcare. Additionally, Chen's experience includes a fellowship at the U.S. National Library of Medicine from 2006 to 2010, focusing on medical informatics.
Educational Background
Siyuan Chen earned a Bachelor’s degree in Electrical Engineering from Dalian University of Technology, completing the program from 1996 to 2000. Chen furthered education by obtaining a Ph.D. in Electrical Engineering from the University at Buffalo, where studies were conducted from 2001 to 2006. This academic background provided a strong foundation for a career in research and technology.
Postdoctoral Research and Early Career
Following the completion of the Ph.D., Siyuan Chen worked as a Postdoctoral Research Associate at Lehigh University for 10 months in 2010. This position involved conducting advanced research, contributing to the academic community, and further developing expertise in the field of electrical engineering.