Tim G. J. Rudner (Preferred)
, Tim Georg Johann Rudner
, Tim Rudner
Tim G. J. Rudner
New York University
Names
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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.
****@new.ox.ac.uk
, ****@cs.ox.ac.uk
, ****@gmail.com
, ****@nyu.edu
Personal Links
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Education & Career History
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Assistant Professor
New York University (nyu.edu)
2022 – Present
Visiting Fellow
Yale University (yale.edu)
2022 – 2023
PhD student
University of Oxford (ox.ac.uk)
2017 – 2022
Research Intern
Amazon (amazon.com)
2019 – 2019
Visiting Researcher
University of California, Berkeley (berkeley.edu)
2019 – 2019
MS student
University of Oxford (ox.ac.uk)
2016 – 2017
Undergrad student
Yale University (yale.edu)
2012 – 2016
Advisors, Relations & Conflicts
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Coauthor
Andrew Wilson
****@cims.nyu.edu
2022 – 2024
PhD Advisor
Yarin Gal
****@cs.ox.ac.uk
2018 – 2022
PhD Advisor
Yee Whye Teh
****@stats.ox.ac.uk
2018 – 2022
Coauthor
Sergey Levine
****@eecs.berkeley.edu
2019 – 2021
Coauthor
Dino Sejdinovic
****@stats.ox.ac.uk
2017 – 2017
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
reinforcement learning
2016 – Present
Bayesian deep learning
2016 – Present
variational inference
2016 – Present
Gaussian processes
2016 – Present