Machine Learning Applications In Particle Physics Professors in Global

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Valentina Vecchio
University of Manchester United Kingdom
particle physics
experimental particle physics
machine learning
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Gordon Watts
University of Washington United States of America
particle physics
computational physics
machine learning
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Junyao Xie
University of Guelph Canada
physics-informed machine learning
machine learning
quantum computing
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Heather Gray
University of California, Berkeley United States of America
particle physics
machine learning
quantum computing
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Roman Krems
University of British Columbia Canada
quantum machine learning
machine learning
quantum computing
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Duncan O'dell
McMaster University Canada
molecular physics
mathematical physics
quantum physics
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Peter Mcmahon
Cornell University Netherlands
machine learning
material physics
quantum computing
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Zhiyan Ding
University of Michigan United States of America
machine learning
applied computational mathematics
quantum computing
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Giuseppe Carleo
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
quantum physics
quantum computing
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Matthew Schwartz
Harvard University United States of America
machine learning in physics
particle physics
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Phiala Shanahan
Massachusetts Institute of Technology United States of America
machine learning in physics
particle physics
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Eluned Smith
Massachusetts Institute of Technology United States of America
machine learning in physics
particle physics
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Jennet Dickinson
Cornell University Netherlands
machine learning in physics
particle physics
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Mia Liu
Purdue University United States of America
machine learning in physics
particle physics
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Maria Ubiali
University of Cambridge United Kingdom
machine learning techniques in physics
particle phenomenology
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Bethany Goldblum
University of California, Berkeley United States of America
machine learning applications
applied nuclear physics
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Michael Knap
Technical University of Munich Germany
machine learning in physics
quantum computing
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Chengcheng Tao
Purdue University United States of America
machine learning applications
computational mechanics of materials
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Michael Williams
Massachusetts Institute of Technology United States of America
artificial intelligence in particle physics
machine learning
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Casey Myers
University of Western Australia Australia
machine learning applications
quantum computing
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Stefano Terlizzi
Pennsylvania State University United States of America
applications of multiphysics modeling
computational reactor physics
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