Brenden K. Petersen (Preferred)
, Brenden K Petersen
Brenden K. Petersen
Lawrence Livermore National Labs
Names
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Emails
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****@llnl.gov
Personal Links
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Education & Career History
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Principal Investigator
Lawrence Livermore National Labs (llnl.gov)
2019 – Present
Staff scientist
Lawrence Livermore National Labs (llnl.gov)
2017 – 2019
Postdoc
Lawrence Livermore National Labs (llnl.gov)
2016 – 2017
PhD student
University of California Berkeley (berkeley.edu)
2012 – 2016
PhD student
University of California, San Francisco (ucsf.edu)
2012 – 2016
MS student
University of California, Los Angeles (ucla.edu)
2011 – 2012
Undergrad student
University of California, Los Angeles (ucla.edu)
2007 – 2011
Advisors, Relations & Conflicts
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Coworker
Garrett Mulcahy
****@gmail.com
2021 – Present
Coworker
Leno da Silva
****@llnl.gov
2021 – Present
Coworker
Mikel Landajuela
****@llnl.gov
2018 – Present
Coworker
Nathan Mundhenk
****@llnl.gov
2018 – Present
Coworker
Claudio Santiago
****@llnl.gov
2018 – Present
Coworker
Alexander Anderson
****@moffitt.org
2018 – Present
Coworker
Rafael Bravo
****@moffitt.org
2018 – Present
Coworker
Mark Robertson-Tessi
****@moffitt.org
2018 – Present
Coworker
Ruben Glatt
****@llnl.gov
2018 – Present
Coworker
Jiachen Yang
****@gatech.edu
2017 – Present
Coworker
Daniel Faissol
****@llnl.gov
2016 – Present
Coworker
Sookyung Kim
****@llnl.gov
2019 – 2021
Coauthor
Hongyuan Zha
****@cc.gatech.edu
2017 – 2021
Coworker
Gerald Friedland
****@llnl.gov
2019 – 2020
Coauthor
Will Grathwohl
****@cs.toronto.edu
2017 – 2018
PhD Advisor
C. Anthony Hunt
****@ucsf.edu
2012 – 2016
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
symbolic regression, AutoML, combinatorial optimization
2019 – Present
deep reinforcement learning, simulation control
2016 – Present