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Biographical Sketch
Vinicius Mikuni is a NESAP for Learning Postdoctoral Fellow at NERSC. His current research focuses on machine learning development and application for experimental High Energy Physics, including Likelihood-free deep learning for detector simulation, unfolding, and anomaly detection on the search for new physics processes.
He received his PhD in 2021 from the University of Zurich, measuring the production cross-section of top quark pairs in association to b quarks and the search for new physics in signatures involving third-generation fermions using the data collected by the CMS Collaboration.
