MARS Team | PNNL

	Mark Raugas Initiative Lead and Chief Scientist Mark serves as PNNL’s Mathematics for Artificial Reasoning in Science (MARS) initiative lead. He has contributed to the artificial intelligence rapid internal investment, and led research activities in high performance data analytics portfolio, including work maturing the Rust programming language for use in high-performance computing.
	Mahantesh Halappanavar AI methods lead Mahantesh serves as the MARS initiative AI methods lead. As a chief computer scientist at PNNL, his research has spanned multiple technical foci and includes combinatorial scientific computing, parallel graph algorithms, artificial intelligence and machine learning, and the application of graph theory and game theory to solve problems in application domains.
	Brett Jefferson Human Factors Lead Brett serves as the MARS initiative Human Factors Thread Lead and is the principle investigator for the Human Factors Assessment Methodology for Machine Learning with Power Operators project. This project aims to measure cognitive load, reliance, and efficiency when power grid operators use machine learning tools. Brett is a mathematical psychologist with a special interest in cognitive models and topological data analysis.
	Brian Kritzstein Analytical Sciences Lead Brian serves as the MARS Analytical Sciences Thrust Lead and is focused on the advances of analytical tools and systems. As an advisor in the National Security Directorate, Brian supports project applications, technology transition opportunities, sponsor engagements, and both internal and external outreach efforts in support of the MARS initiative.