Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Visiting Research Affiliate at Berkeley Lab
Branche
Education
Webseite
http://mickypaganini.github.io
Info
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...
Tags
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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Präsentationen
(2)Gefällt mir
(3)Building capacity for open science - COASP Meeting
Kaitlin Thaney
•
Vor 8 Jahren
Python Advanced – Building on the foundation
Kevlin Henney
•
Vor 8 Jahren
10 more lessons learned from building Machine Learning systems - MLConf
Xavier Amatriain
•
Vor 8 Jahren
Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Visiting Research Affiliate at Berkeley Lab
Branche
Education
Webseite
http://mickypaganini.github.io
Info
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...
Tags
physics
high energy physics
particle physics
deep learning
machine learning
neural networks
classification
cern
atlas
rnn
nersc
cosmology
science
gans
generative adversarial networks
Mehr anzeigen