Jason Young
Jason Young is a Faculty Engineering Specialist at ARLIS working within the Artificial Intelligence (AI), Autonomy, and Augmentation mission area. Previously, Young worked with embedded systems as a software engineer at Honeywell. He was also a 2022 RISC Intern. In his current role, Young supports the instrumentation of user analytics on the web and develops this software by working with the open-source Apache Flagon project, where he is a project management committee member.
EDUCATION:
MS in Computer Science, University of Illinois Urbana-Champaign
BS in Computer Engineering, University of Pittsburgh
Professional Highlights
2022 RISC Intern