Krishnamurthy Dj Dvijotham

Google DeepMind

Names

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

Krishnamurthy Dj Dvijotham (Preferred)
,
Krishnamurthy Dvijotham

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.

****@google.com
,
****@cs.washington.edu
,
****@deepmind.com

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.

Researcher
Google DeepMind (google.com)
2023Present
 
research scientist
Google Brain (google.com)
20212023
 
Research Scientist
DeepMind (deepmind.com)
20172021
 
Researcher
Pacific Northwest National Laboratory (pnnl.gov)
20162017
 
Postdoc
California Institute of Technology (caltech.edu)
20142016
 
Postdoc
Deparment of Computing + Mathematical Sciences, California Institute of Technology (cms.caltech.edu)
20142016
 
PhD student
Department of Computer Science, University of Washington (cs.washington.edu)
20082014
 
Undergrad student
Indian Institute of Technology Bombay, Dhirubhai Ambani Institute Of Information and Communication Technology (iitb.ac.in)
20042008
 

Advisors, Relations & Conflicts

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

PhD Advisor
Steven Low
****@caltech.edu
20142016
 
Postdoc Advisor
Steven Low
****@caltech.edu
20142016
 
PhD Advisor
Emanuel Todorov
****@cs.washington.edu
20082014
 
PhD Advisor
Maryam Fazel
****@uw.edu
20082014
 

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

deep learning
20162018
 
optimization
20082018
 
control theory
20082018
 
machine learning
20082018