Daniel D. Johnson

Toronto University

Names

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

Daniel D. Johnson (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.

****@hmc.edu
,
****@google.com
,
****@cs.toronto.edu

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 student
Toronto University (utoronto.ca)
2021Present
 
Research Software Engineer
Google (google.com)
2021Present
 
AI Resident
Google (google.com)
20192021
 
Perception software engineer
Cruise (getcruise.com)
20182019
 
Undergrad student
Harvey Mudd College (hmc.edu)
20142018
 

Advisors, Relations & Conflicts

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

PhD Advisor
David Duvenaud
****@cs.toronto.edu
2021Present
 
PhD Advisor
Chris Maddison
****@cs.toronto.edu
2021Present
 
Coworker
Jacob Austin
****@google.com
2020Present
 
Coworker
Danny Tarlow
****@google.com
2019Present
 
Coworker
Hugo Larochelle
****@google.com
2019Present
 
Coworker
Dibya Ghosh
****@google.com
2019Present
 
Coworker
Linda Petrini
****@google.com
2019Present
 
Coworker
David Bieber
****@google.com
2019Present
 
Coworker
Disha Shrivastava
****@google.com
2019Present
 

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

bayesian reinforcement learning
2021Present
 
variational methods
2020Present
 
transformers
2020Present
 
implicit differentiation
2019Present
 
program synthesis
2019Present
 
programming languages
2019Present
 
continuous relaxation
2019Present
 
bayesian inference
2019Present
 
probability theory
2018Present
 
graph neural networks
2017Present
 
structured data
2016Present
 
deep learning
2015Present
 
neural networks
2015Present
 
rnns
20152018