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Colin MacLean

colin maclean
Colin Alexander MacLean
Computer Systems Engineer 3
Computer Science Department
Pacific Time
Berkeley, California

Biographical Sketch

Colin MacLean is a member of the CLaSS Group working on the Pagoda Project. Before joining CLaSS, Colin was a member of the NERSC Advanced Technology Group (ATG).  Before that Colin was a Research Programmer at the National Center for Supercomputing Applications at the University of Illinois. He has a M.Sc. in High Performance Computing from the University of Edinburgh and a B.Sc. in Nanotechnology from the University of Leeds.

Others

Savannah Thais, Paolo Calafiura, Grigorios Chachamis, Gage DeZoort, Javier Duarte, Sanmay Ganguly, Michael Kagan, Daniel Murnane, Mark S. Neubauer, Kazuhiro Terao, Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges, 2022 Snowmass Summer Study, 2022,

Chun-Yi Wang, others, Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline, 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research: AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing, 2022,

Alina Lazar, others, Accelerating the Inference of the Exa.TrkX Pipeline, 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research: AI Decoded - Towards Sustainable, Diverse, Performant and Effective Scientific Computing, 2022,

Xiangyang Ju, others, Performance of a geometric deep learning pipeline for HL-LHC particle tracking, Eur. Phys. J. C, Pages: 876 2021, doi: 10.1140/epjc/s10052-021-09675-8

Xiangyang Ju, others, Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors, 33rd Annual Conference on Neural Information Processing Systems, 2020,