Michela Paganini

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Looking for new challenges in Deep Learning research in a fast-paced industry research environment with a clear vision and that values execution. Currently pursuing my PhD at Yale University in the field of Experimental High Energy Physics with Prof. Tipton's group in the ATLAS experiment at CERN, with the goal of bringing state-of-the-art Deep Learning techniques to improve particle and event identification. Astrophysics and Physics graduate from the University of California, Berkeley. Enthusiastic, with excellent communication skills and strong motivation to succeed. Involved, caring and active in outreach, education, and volunteering events. Ambitious, hard-working scientist and resea...

physics high energy physics particle physics deep learning machine learning neural networks classification cern atlas rnn nersc cosmology science gans generative adversarial networks

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Michela Paganini

Présentations

Accelerating Science with Generative Adversarial Networks

Machine Learning for b-tagging in ATLAS - ACAT 2017

J’aime

Building capacity for open science - COASP Meeting

Python Advanced – Building on the foundation

10 more lessons learned from building Machine Learning systems - MLConf