Our Team

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Prof. Hope Michelsen

Prof. Michelsen  has been studying the chemistry of particles and developing ways to detect them since 1993. She started her research career as an undergraduate at Dartmouth College in Chemistry, studying laser spectroscopy. As a graduate student, she investigated gas-surface reactive scattering at the IBM Almaden Research Center and Stanford University, where she received her Ph.D. degree in Chemistry with a minor in Physics. She was an NSF postdoctoral fellow at Harvard University, a research scientist at Atmospheric and Environmental Research, Inc., and a technical staff member in the Combustion Research Facility at Sandia National Laboratories.  Prof. Michelsen also enjoys practicing and teaching yoga and having adventures with her husband and their two border collies. 

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James Rundel

James received his B.S. in Energy Systems Engineering from the University of Wyoming. After graduating, he explored his interest in energy by working in a rotational role for a utility company for two years. He then returned to the University of Wyoming for an M.S. in Mechanical Engineering. His master's research focused on thermal digestion of biological tissues and analysis of soot formation in flat flames, which ignited his interest in combustion. He is excited to explore soot formation and combustion chemistry for his Ph.D. work at CU Boulder. In his free time, James can often be found befriending any dog he comes across, running, biking, or practicing Tae Kwon Do, in which he holds the rank of 1st Dan black bel

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Dr. Ray Bambha

Ray received his B.S. in Applied Physics from Caltech, an M.S.E.E. from University of Central Florida, and his Ph.D. in Electrical Engineering from the University of Massachusetts, Amherst for work in the area of millimeter-wave cloud radar remote sensing. He has been a technical staff member in the Remote Sensing Department at Sandia National Laboratories in Livermore, CA since 2000. His research is focused on studying trace gases and aerosols relevant to climate change and involves regional atmospheric modeling and inverse modeling to estimate sources of methane and other climate pollutants.