Fellows Program
Meet Our Current Fellows
Our highly selective technical career path recognizes accomplished individuals with deep expertise and a history as innovation change agents, technical executive leaders, and strategic visionaries. LMI fellows work across the enterprise to match LMI capabilities and strategy with government challenges, differentiating our solutions.
Kim Barnette, PhD
Fellow, Data AnalysisLMI data analysis Fellow, Dr. Kim Barnette, offers a wealth of experience as a consultant, project director, and senior researcher, helping local and federal government agencies by translating their data into useful information. She leverages her strengths as a leader, mentor, strategic planner, facilitator, public speaker, and collaborator while cultivating opportunities for academic partners, technicians and data scientists to develop products and deliver services.
Ray Compton
Fellow, Solutions ArchitectureRay Compton has over 30 years of experience in solving critical acquisition gaps within the federal government. His leadership and strategic experience encompass working with all aspects of the acquisition lifecycle, from research and development to production of complex systems supporting our national defense. He is a retired U.S. Army colonel who joined LMI in 2019. Prior to being named a fellow, Ray supported internal and external LMI stakeholders in the strategic development of integrated solutions for capability gaps in national defense.
Nathan Danneman, PhD
Fellow, Applied Artificial Intelligence (AI) and Machine Learning (ML) More About NathanNathan Danneman, PhD
Fellow, Applied Artificial Intelligence (AI) and Machine Learning (ML)Nathan is LMI’s applied AI and ML fellow. Nathan’s leading-edge computational methods extract valid inferences from complex data to support mission needs. He has applied semi-supervised and active learning paradigms to entity resolution problems over graph data to harmonize multisource supply chain risk datasets. He led a team that used large language models and sparse matrix imputation methods to build a prediction-based enterprise skills management system for LMI. Nathan’s PhD in quantitative political science provides him with a strong statistical background to tackle complex problems arising from large, scare, biased, missing, or otherwise fraught data.
Sarah Lukens, PhD
Fellow, Data ScienceSarah is an LMI fellow with a decade of expertise in developing data-driven analytics for reliability applications. She specializes in analyzing asset maintenance data and creating statistical models to enhance asset performance management using natural language processing, machine learning, and reliability engineering. Sarah earned her PhD in mathematics from Tulane University and has extensive experience developing industrial software solutions. She is a Certified Maintenance and Reliability Professional (CMRP) and an active volunteer in the reliability community.
Joseph Mariña
Fellow, Agile Transformation CoachJoseph Mariña is our agile coaching fellow with experience across technology projects in digital distribution, healthcare, logistics, and holographic computing. As a specialized generalist, Joseph finds patterns across seemingly unrelated challenges and promotes lateral innovation. His experience working across many agile frameworks led to his development of a custom agile framework to support efforts producing LMI Forge™ prototypes in 30–45 business days.
Lucas McCabe
Fellow, Data ScienceLucas is a data science fellow at LMI, where he leads the Machine Learning and Statistics Lab. He has served as machine learning lead for the LIGER™ platform, modeled the climatic and operational impacts of synthetic jet fuel, developed software for maritime logistics, and more. Lucas is a PhD candidate in computer science at George Washington University and a member of the Graph Computing Laboratory, where he researches natural language processing and computational social science. He has been recognized as a DARPA Riser and is a multiple-time Luminary Award winner (LMI) as well as a David and Dorothy Bernstein scholar (Institute for Quantitative Biomedicine).
Kerry McCarthy
Fellow, Supply Chain ResilienceKerry has enhanced supply chain resilience for a diverse range of organizations across the defense, health, civilian, intelligence, and private sectors for nearly 20 years. As a fellow at LMI, he leverages his engineering background and supply chain expertise to develop and implement innovative cross-functional solutions, oversee supply chain resilience projects, and foster collaboration with academia, industry, and government. Prior to being named a fellow, Kerry led LMI's supply chain resilience practice area.
Related Content
Explore All-
Read more on 'An Agile Framework for Research and Development'
Innovation at the Pace of Need™An Agile Framework for Research and Development
LMI developed an agile framework for research and development that encourages the creation of rapid prototypes based on Innovation and crowdsourced ideas.
-
Read more on 'Demystifying ChatGPT for Government Leaders'
InsightsDemystifying ChatGPT for Government Leaders
Technologies work best when used as human-in-the-loop capabilities, with the model functioning as an accelerator.
-
Read more on 'Three Ways ARPA-H Can Succeed as a New and Agile Organization'
PerspectiveThree Ways ARPA-H Can Succeed as a New and Agile Organization
The president’s budget calls for a DARPA-like organization for discovering the most innovative and effective treatments for major diseases.