Andrew Jaegle

DeepMind

Names

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

Andrew Jaegle

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.

****@upenn.edu
,
****@gmail.com
,
****@seas.upenn.edu
,
****@google.com
,
****@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.

Research Scientist
DeepMind (deepmind.com)
2019Present
 
Postdoc
University of Pennsylvania (upenn.edu)
20182019
 
PhD student
University of Pennsylvania (upenn.edu)
20122018
 
Research Intern
DeepMind (google.com)
20172017
 
Consultant
Bodylabs (bodylabs.com)
20162017
 
Intern
Max Planck Institute for Intelligent Systems (tuebingen.mpg.de)
20152016
 

Advisors, Relations & Conflicts

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

PhD Advisor
Kostas Daniilidis
****@cis.upenn.edu
2013Present
 
Coworker
Kosta Derpanis
****@ryerson.ca
2013Present
 
Coworker
Stephen Phillips
****@seas.upenn.edu
2013Present
 
Coworker
Javier Romero
****@bodylabs.com
20152017
 
Coworker
Michael Black
****@tuebingen.mpg.de
20152017
 
Coauthor
Kostas Daniilidis
****@cis.upenn.edu
20162016
 

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

Attention
2020Present
 
Transformers
2020Present
 
Inverse reinforcement learning
2019Present
 
Multimodal
2019Present
 
Motion
2012Present
 
Computer vision
2012Present
 
Computational Neuroscience
2012Present
 
Deep learning
2012Present
 
RNNs
2012Present
 
Shape
2012Present
 
Pose
2012Present
 
Unsupervised learning
2012Present
 
Self-supervised learning
2012Present
 
Imitation learning
2012Present
 
Video prediction
2012Present