Mónica Ribero

Google

Names

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

Mónica Ribero (Preferred)
,
Monica Ribero Diaz

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.

****@utexas.edu
,
****@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.

Researcher
Google (google.com)
2022Present
 
PhD student
University of Texas, Austin (utexas.edu)
20172022
 
Intern
Google (google.com)
20202021
 
Intern
CognitiveScale (cognitivescale.com)
20192019
 
Undergrad student
Universidad de Los Andes (uniandes.edu.co)
20112015
 

Advisors, Relations & Conflicts

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

Coauthor
Matthew Joseph
****@google.com
2021Present
 
Coauthor
Andrés Muñoz Medina
****@google.com
2021Present
 
Coauthor
Jenny Gillenwater
****@google.com
2021Present
 
Coauthor
Jette Henderson
****@cognitivescale.com
2018Present
 
Coauthor
Sinead Williamson
****@cognitivescale.com
2018Present
 
PhD Advisor
Haris Vikalo
****@ece.utexas.edu
2017Present
 
PhD Advisor
Robert Heath
****@utexas.edu
2017Present
 
Coauthor
Peter Kairouz
****@google.com
20202021
 
Coauthor
Abhradeep Thakurta
****@google.com
20202021
 
Coauthor
Keith Rush
****@google.com
20202021
 
Coauthor
Gustavo Deveciana
****@utexas.edu
20202021
 

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

Differential privacy
2019Present
 
Federated Learning, Communication
2018Present
 
Federated Learning, Privacy
2018Present
 
Recommender systems, privacy
2018Present