CompSci Colloquium: Jed Brown (CU Boulder)
Fast Algorithms and Community Software for Physical Prediction, Inference, and Design
ABSTRACT: Physically-based computational models are the foundation of modern science and engineering, providing the only path to reliable prediction and inference in the presence of sparse and indirect observations as well as deeper understanding of interacting physical processes and scales. This talk presents a holistic approach to advancing capability, robustness, efficiency, and productivity as well as fostering open source software communities.
BIO: Jed Brown is an Assistant Professor of Computer Science and holds a courtesy appointment in Applied Mathematics at CU Boulder. His research lies at the intersection of computer science, computational mathematics, and a range of application domains including geophysics, materials science, fluid mechanics, fusion, and reactor engineering. He received his Dr.Sc. from ETH Zurich in 2011 and was an Assistant Computational Mathematician at Argonne National Lab before joining the faculty at CU Boulder in 2015. His work has been recognized by the 2014 SIAG/SC Junior Scientist Prize and a 2014 IEEE TCSC Young Achiever Award, and as co-recipient of the 2015 SIAM/ACM Prize in Computational Science and Engineering. His research support includes DOE and NSF.
Tuesday, October 2, 2018 at 3:00pm
Discovery Learning Center, DLC 170
1095 Regent Drive, Boulder, CO 80309
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