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AI Executive Leader | Co-founder @ Lapis Legal AI | Ph.D., AI, Machine Learning, Data Science
Dr. Robert Coop, also known as Coop, has over 15 years of experience in the data science space, with a Ph.D. in Computer Engineering and a concentration in Machine Learning from the University of Tennessee. Previously, Coop served as the Chief AI Officer at Advent Health Partners, where he was responsible for all artificial intelligence and machine learning activities within the organization, leading R&D using generative AI, ChatGPT, and other cutting-edge AI for product and operations. He has led the machine learning practice at phData, and founded and led the Artificial Intelligence and Machine Learning team at Stanley Black & Decker, which focuses on applying cutting-edge algorithms to solve enterprise problems at scale. Coop received his doctorate from the University of Tennessee, where he studied deep learning, neural network training algorithms, and ensemble techniques.
University of Tennessee, Knoxville
Ph.D., Computer Engineering (Concentration in Machine Learning)
January 1, 2010 – January 1, 2013
University of Tennessee, Knoxville
M.S., Electrical Engineering (concentration in Intelligent Control)
January 1, 2008 – January 1, 2010
University of Tennessee, Knoxville
B.S., Computer Science
January 1, 2003 – January 1, 2008
Quellant
Principal Consultant
June 1, 2025 – Present
Lapis Legal AI
Co-Founder
June 1, 2025 – Present
Nashville, Tennessee, United States
WorkWave
Sr. Director, Artificial Intelligence
February 1, 2024 – June 1, 2025
Remote
Wondry
Mentor, Vanderbilt Wondr'y
April 1, 2022 – Present
Nashville, TN
Advent Health Partners
Chief Artificial Intelligence Officer
October 1, 2021 – January 1, 2024
Nashville, Tennessee, United States
phData, Inc.
General Manager of Machine Learning
August 1, 2020 – October 1, 2021
phData, Inc.
Director of Machine Learning
December 1, 2019 – August 1, 2020
H2O.ai
Customer Data Scientist, Customer Success
August 1, 2019 – December 1, 2019
Georgia Institute of Technology / Trilogy Education
Instructor - Data science bootcamp
August 1, 2018 – February 1, 2019
Atlanta Metropolitan Area
Stanley Black & Decker, Inc.
Senior Manager, Artificial Intelligence & Machine Learning
February 1, 2018 – July 1, 2019
Stanley Black & Decker, Inc.
Principal AI Architect
August 1, 2017 – February 1, 2018
Stanley Black & Decker, Inc.
Sr. Data Scientist
December 1, 2015 – August 1, 2017
State Farm
Sr. Data Scientist
May 1, 2013 – December 1, 2015
Atlanta Metropolitan Area
RTSync
Senior Computer Scientist, Lead Developer
October 1, 2010 – April 1, 2013
Sierra Vista, Arizona
University of Tennessee
Doctoral Student
August 1, 2008 – May 1, 2013
University of Tennessee
Graduate Teaching Assistant
August 1, 2008 – May 1, 2010
Oak Ridge National Laboratory
Researcher
January 1, 2008 – January 1, 2012
University of Tennessee
Machine Intelligence Research Assistant
August 1, 2007 – January 1, 2008
University of Tennessee
Computer Science Lab Assistant
January 1, 2007 – May 1, 2008
U30 Group, Inc.
IT Management Intern
May 1, 2005 – January 1, 2007
Knoxville, Tennessee Area
Functional Analysis of Cellular Automata
January 1, 2010 – July 1, 2010
Project satisfying thesis requirement for a Master of Science degree. In this project, generalized 2-dimensional binary cellular automata are modeled using the discrete event system specification (DEVS). Cellular automata are randomly generated and simulated. Observations of these simulations are used in combination with an intelligent, entropy based evolutionary algorithm in order to infer the transition function of the cellular automaton.
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across startups (Lapis Legal AI), established enterprises (WorkWave, Advent Health Partners, Stanley Black & Decker, State Farm), and academic institutions (University of Tennessee, Georgia Tech) suggests adaptability to various organizational cultures. Their involvement in mentoring and teaching indicates a collaborative and knowledge-sharing mindset. The breadth of projects, from cellular automata to legal AI and healthcare, demonstrates intellectual curiosity and a willingness to tackle complex problems, aligning well with innovative and growth-oriented environments. The target role of 'Data Analyst' seems significantly under-leveled given the candidate's extensive senior leadership and strategic AI experience, which might lead to a mismatch in expectations or underutilization of their advanced skills.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and mentorship capabilities through their various director and general manager roles. Their experience in building and leading AI teams, developing strategic roadmaps, and engaging with C-level executives indicates a high level of operational fit for senior leadership positions. The mentoring role at Vanderbilt Wondr'y and instructor experience further highlight their ability to foster innovation and guide others. The descriptions suggest a proactive and results-oriented individual capable of driving AI initiatives from ideation to deployment.