Timnit Gebru

Stanford University

Names

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

Timnit Gebru (Preferred)

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.

****@gmail.com
,
****@stanford.edu
,
****@microsoft.com
,
****@google.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.

PhD
Stanford University
Present
 
Research Scientist
Google AI (google.com)
2018Present
 
Senior Research Scientist
Google (google.com)
2018Present
 
Postdoc
Microsoft Research (microsoft.com)
20172018
 
Post Doc
Microsoft Research ( )
20172018
 
Postdoc
Microsoft (microsoft.com)
20172018
 
PhD student
Stanford University (stanford.edu)
20112017
 
Graduate Student
Stanford University ( )
20102017
 

Advisors, Relations & Conflicts

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

Coworker
margaret mitchell
****@google.com
2018Present
 
former coworker
hanna wallach
****@dirichlet.net
20172018
 
Coworker
hal daume III
****@microsoft.com
20172018
 
Coworker
Jenn Wortman-Vaughn
****@microsoft.com
20172018
 
Coauthor
Jia Deng
****@umich.edu
20142017
PhD Advisor
fei-fei li
****@cs.stanford.edu
20132017
 
Advisor
Fei-fei Li
****@cs.stanford.edu
20132017
Coauthor
Jonathan Krause
****@cs.stanford.edu
20142014
Coauthor
Jia Deng
****@cs.stanford.edu
20142014
Coauthor
Li-jia Li
****@gmail.com
20112014
Coauthor
Jia Deng
****@umich.edu
20112014
Coauthor
Li-jia Li
****@cs.stanford.edu
20112014

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

Computer Vision
Present
 
Fairness Accountability Transparency and Ethics
Present
 
Bias and Fairness
2015Present
 
Domain Adaptation
2015Present
 
Fine-grained image recognition
2013Present
 
Using lots of images to analyze society
2013Present
 
Scalable annotation of datasets
2013Present