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Learning Systems Group Lead at Oak Ridge National Laboratory
Robert M. Patton is a Distinguished Research Staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory and the Group Lead for the Learning Systems Group within the Data and AI Systems Section. He has over 17 years of professional experience in government research and development as well as being the principle investigator (PI) of more than $2 million in research funds. His research focuses on artificial intelligence, evolutionary algorithms, and machine learning as they apply to data analysis, information processing, and prediction. His work has achieved more than 100 publications, 4 patents, 3 software copyrights, 3 R&D 100 Awards, and 3 nominations for the Association of Computing Machinery Gordon Bell Award. Specialties: Artificial Intelligence, High Performance Computing, Intelligent Automation, Data Analytics
University of Central Florida
Ph.D., Computer Engineering
January 1, 2001 – January 1, 2002
University of Central Florida
M.S., Computer Engineering
January 1, 1999 – January 1, 2001
University of Central Florida
B.S., Computer Engineering
January 1, 1996 – January 1, 1999
Valencia College
A.A.
January 1, 1994 – January 1, 1996
Oak Ridge National Laboratory
Learning Systems Group Lead
October 1, 2020 – Present
Oak Ridge National Laboratory
Nature Inspired Machine Learning Team Lead
July 1, 2016 – October 1, 2020
Oak Ridge National Laboratory
Research Staff
April 1, 2003 – July 1, 2016
University of Central Florida
Research Assistant
September 1, 2000 – December 1, 2002
Oak Ridge National Laboratory
Research Assistant
May 1, 2000 – August 1, 2000
University of Central Florida
Research Assistant
September 1, 1999 – April 1, 2000
Oak Ridge National Laboratory
Research Assistant
May 1, 1999 – August 1, 1999
SGI
intern
January 1, 1998 – January 1, 1999
Cultural Fit Analysis
The candidate's career has been predominantly in government research and development at Oak Ridge National Laboratory, with a strong focus on academic and scientific contributions. While this demonstrates deep expertise in a specialized domain, the transition to a 'Backend Engineer' role in a potentially different industry or product-focused environment might require adaptation. The project diversity is limited to research initiatives, and the listed skills are heavily skewed towards AI/ML research rather than typical backend engineering stacks (e.g., specific programming languages, frameworks, databases, cloud platforms). This suggests a potential mismatch with a standard backend engineering cultural fit, which often values agile development, product delivery, and broader system design experience.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and project management skills through their roles as Group Lead and Team Lead at Oak Ridge National Laboratory. Their extensive experience in research and development, coupled with a high publication and patent count, indicates a proactive and innovative work attitude. The descriptions suggest a collaborative approach within research teams. However, without specific psychometric test results, a detailed assessment of stress handling and team collaboration beyond what is inferred from leadership roles is not possible.