Mónica Ribero (Preferred)
, Monica Ribero Diaz
Mónica Ribero
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
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
Personal Links
Add links to your profiles on other sites. (Optional)
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)
2022 – Present
PhD student
University of Texas, Austin (utexas.edu)
2017 – 2022
Intern
Google (google.com)
2020 – 2021
Intern
CognitiveScale (cognitivescale.com)
2019 – 2019
Undergrad student
Universidad de Los Andes (uniandes.edu.co)
2011 – 2015
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
2021 – Present
Coauthor
Andrés Muñoz Medina
****@google.com
2021 – Present
Coauthor
Jenny Gillenwater
****@google.com
2021 – Present
Coauthor
Jette Henderson
****@cognitivescale.com
2018 – Present
Coauthor
Sinead Williamson
****@cognitivescale.com
2018 – Present
PhD Advisor
Haris Vikalo
****@ece.utexas.edu
2017 – Present
PhD Advisor
Robert Heath
****@utexas.edu
2017 – Present
Coauthor
Peter Kairouz
****@google.com
2020 – 2021
Coauthor
Abhradeep Thakurta
****@google.com
2020 – 2021
Coauthor
Keith Rush
****@google.com
2020 – 2021
Coauthor
Gustavo Deveciana
****@utexas.edu
2020 – 2021
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
2019 – Present
Federated Learning, Communication
2018 – Present
Federated Learning, Privacy
2018 – Present
Recommender systems, privacy
2018 – Present