David Chiba is a Principal Scientist at Areté, specializing in computational science with a focus on machine learning, fluid dynamics, and signal processing. They develop algorithms that integrate statistical techniques and physics-based models to extract meaningful insights from data. David's current work involves various advanced sensor systems, fostering innovative solutions for complex challenges and contributing to new business development. Previously, David held multiple roles at Areté, including Senior Principal Scientist, and has conducted research at UCLA in both the Department of Chemistry and Biochemistry and the Atmospheric and Oceanic Sciences. They earned a B.S. in Chemical Engineering, graduating Cum Laude from UCLA.
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