David joins us from the Center for Water Energy Efficiency at the University of California, Davis, where he has researched optimization, machine learning and automation applications for water and energy use. David earned a PhD in Industrial Engineering from the University of Washington, and an MS in Industrial Engineering from the University of Michigan. At graduate school, he researched and developed novel global optimization algorithms, engineered corresponding software and interfaces, and explored optimization solutions for healthcare staffing applications and other critical decision making. David has published articles on simulation optimization applications in healthcare and energy conservation. He taught Probability and Statistics at UW and worked as a TA for Industrial Engineering courses. At UC, Davis, he earned a BS in Mechanical Engineering. David has worked at Intel, creating models for factory capacity and tool layout and allocation. He is originally from Davis and enjoys music and hiking.