Scientist and Group Leader at SRNL
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UC Davis
Doctor of Philosophy (PhD), Computer Science
January 1, 2004 – January 1, 2009
University of California, Davis
Bachelor's degree, Chemistry
January 1, 1991 – January 1, 1996
Savannah River National Laboratory
Scientist Group Lead
January 1, 2024 – Present
South Carolina, United States · On-site
Pacific Northwest National Laboratory
Scientist, Technical Team Lead - Artificial Intelligence and Mathematical Modeling
January 1, 2010 – July 1, 2025
Richland/Kennewick/Pasco, Washington Area
Lawrence Berkeley National Laboratory
Graduate Student Research Assistant
January 1, 2004 – January 1, 2009
Rabbit Semiconductor
Software Quality Assurance Manager
January 1, 2000 – January 1, 2004
Signature Discovery Initiative
October 1, 2015 – Present
I am currently leading the last year of a five year, multi-million dollar investment in signature discovery. A signature is a unique or distinguishing measurement, pattern or collection of data that identifies a phenomenon (object, action or behavior) of interest. This initiative has developed a rapid, robust process to discover new signatures in any domain. This effort has developed new algorithms and tools that are now solving pressing national challenges.
Hierarchical Signature Detection
October 1, 2012 – Present
Funding - 800K I have led a two year project funded under PNNL’s Signature Discovery Initiative (SDI). The project, which consists of 4 staff, developed a new statistical framework that enabled the distribution of signature detection tasks across hierarchical systems. The approach accelerates the detection process by leveraging distributed evidence to assess the probability that certain primary events will occur, thus creating early situation awareness. The project has developed new intellectual property and is producing new technical journal articles.
Shared Perspectives
October 1, 2011 – Present
Funding 800K I led a three year project and 8 staff members funded under PNNL’s Future Power Grid Initiative (FPGI). The project developed an actionable visualization tools for power grid situation awareness. This project’s software enables multiple organizations to intuitively and seamlessly share information inorder to enhance multi-organization collaboration during critical events. The project has developed new intellectual property and is producing new technical journal articles.
Visualizing Uncertainty in Conceptual and Numerical Models
March 1, 2010 – Present
Funding - 715K I led a three year project funded under PNNL’s Carbon Sequestration Initiative (CSI). The project, which consisted of 7 staff, researched new methods for characterizing and visualizing conceptual and numerical uncertainties in predictive models. This work resulted in several publications, new intellectual property, and new business development.
Cultural Fit Analysis
The candidate's extensive experience in national laboratories (PNNL, SRNL, LBNL) indicates a strong fit for research-intensive, collaborative, and mission-driven environments. Their work on projects with national challenges and intellectual property development aligns with organizations valuing innovation and impact. However, the resume lacks explicit mention of specific data analysis tools, programming languages, or modern data science frameworks commonly used in industry, which might indicate a potential gap in direct cultural fit for a purely industry-focused Data Analyst role without further validation.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, project management, and team guidance skills through their roles as Scientist Group Lead and Technical Team Lead. Their experience in managing multi-million dollar research portfolios and leading diverse teams suggests excellent operational fit for roles requiring strategic thinking, resource allocation, and interdisciplinary collaboration. The descriptions highlight an ability to translate complex research into actionable solutions and intellectual property.