Feiyi Wang
About Feiyi Wang
Feiyi Wang is the Group Lead of the Analytics and AI Methods at Scale Group at Oak Ridge National Laboratory, where he has worked since 2007. He holds a Ph.D. in Computer Engineering from North Carolina State University and has prior experience at Cisco Systems and MCNC Research & Development Institute.
Current Role at Oak Ridge National Laboratory
Feiyi Wang serves as the Group Lead for the Analytics and AI Methods at Scale Group at Oak Ridge National Laboratory. He has held this position since 2007, contributing to advancements in analytics and artificial intelligence. His leadership role involves overseeing projects that leverage AI methodologies to address complex scientific challenges. The laboratory is known for its focus on high-performance computing and data analysis, areas where Wang's expertise is instrumental.
Previous Experience at Cisco Systems
Prior to his current role, Feiyi Wang worked as a Senior Software Engineer at Cisco Systems Inc. from 2004 to 2006. Based in the Austin, Texas area, he was involved in software development and engineering projects that contributed to Cisco's networking solutions. His experience at Cisco provided him with a strong foundation in software engineering practices and technologies.
Research Scientist Role at MCNC
Feiyi Wang held the position of Principal Research Scientist at MCNC Research & Development Institute from 2000 to 2004. During his tenure, he focused on research initiatives that advanced technology in various domains. His work at MCNC contributed to the organization's mission of fostering innovation and research in computing and networking.
Educational Background
Feiyi Wang earned his Ph.D. in Computer Engineering from North Carolina State University, where he studied from 1995 to 2000. Prior to that, he obtained a Master of Science in Computer Engineering from Beijing Jiaotong University, completing his studies there from 1992 to 1995. His academic background has equipped him with a robust understanding of computer engineering principles and methodologies.