David Buchta is a seasoned researcher with extensive experience in simulation, data-driven methods, and advanced analytics. From 2012 to 2016, David served as a Research Assistant at the University of Illinois Urbana-Champaign, where significant contributions included understanding pressure fluctuations from high-speed turbulence. Following this role, David advanced to a Postdoctoral Researcher position at The Johns Hopkins University, focusing on enhancing prediction accuracy in chaotic systems. David's expertise further developed while leading simulations as a Research Scientist at the Center for Exascale Simulation of Plasma-Coupled Combustion, and currently, David holds roles in Advanced Analytics and Machine Learning at Eli Lilly and Company, continuing to drive innovations for life-saving medicines. David earned a PhD in Theoretical and Applied Mechanics from the University of Illinois Urbana-Champaign and holds a Bachelor's degree in Mechanical Engineering from Rose-Hulman Institute of Technology, graduating summa cum laude.
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