Brenden K. Petersen

Lawrence Livermore National Labs

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Brenden K. Petersen (Preferred)
,
Brenden K Petersen

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@llnl.gov

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Principal Investigator
Lawrence Livermore National Labs (llnl.gov)
2019Present
 
Staff scientist
Lawrence Livermore National Labs (llnl.gov)
20172019
 
Postdoc
Lawrence Livermore National Labs (llnl.gov)
20162017
 
PhD student
University of California Berkeley (berkeley.edu)
20122016
 
PhD student
University of California, San Francisco (ucsf.edu)
20122016
 
MS student
University of California, Los Angeles (ucla.edu)
20112012
 
Undergrad student
University of California, Los Angeles (ucla.edu)
20072011
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coworker
Gerald Friedland
****@llnl.gov
2019Present
 
Coworker
Sookyung Kim
****@llnl.gov
2019Present
 
Coworker
Jiachen Yang
****@gatech.edu
2017Present
 
Coauthor
Hongyuan Zha
****@cc.gatech.edu
2017Present
 
Coworker
Daniel Faissol
****@llnl.gov
2016Present
 
Coauthor
Will Grathwohl
****@cs.toronto.edu
20172018
 
PhD Advisor
C. Anthony Hunt
****@ucsf.edu
20122016
 

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
2019Present
 
deep reinforcement learning, simulation control
2016Present