Daniel D. Johnson (Preferred)
Daniel D. Johnson
Researcher, Transluce
PhD student, Computer Science, University of Toronto
Researcher, Google
Joined
October 2016
Names
Emails
****@hmc.edu (Confirmed)
****@google.com (Confirmed)
****@cs.toronto.edu (Confirmed)
****@gmail.com (Confirmed)
****@transluce.org (Confirmed)
Personal Links
Career & Education History
Researcher
Transluce (transluce.org)
2024 – Present
PhD student
Computer Science, University of Toronto (toronto.edu)
2021 – Present
Researcher
Google (google.com)
2021 – Present
AI Resident
Google (google.com)
2019 – 2021
Perception software engineer
Cruise (getcruise.com)
2018 – 2019
Undergrad student
Harvey Mudd College (hmc.edu)
2014 – 2018
Advisors, Relations & Conflicts
Coworker
Linda Petrini
2019 – 2021
Expertise
uncertainty quantification
2022 – Present
decision theory
2022 – Present
language models
2022 – Present
variational methods
2020 – Present
transformers
2020 – Present
implicit differentiation
2019 – Present
program synthesis
2019 – Present
programming languages
2019 – Present
continuous relaxation
2019 – Present
bayesian inference
2019 – Present
probability theory
2018 – Present
graph neural networks
2017 – Present
structured data
2016 – Present
deep learning
2015 – Present
neural networks
2015 – Present
rnns
2015 – 2018
Publications
Co-Authors
- Adam Paszke
- Alexey Radul
- Avi Thaker
- Ayoub El Hanchi
- Cassandra Meyer
- Charles Sutton
- Chris J. Maddison
- Christian Walder
- Daniel Tarlow
- David Bieber
- David Duvenaud
- Dimitrios Vytiniotis
- Dougal Maclaurin
- Eric Storm
- Guy Lorberbom
- Hugo Larochelle
- Ivan Wong
- Jackson Warley
- Jacob Austin
- Jacob Steinhardt
- Jonathan Ho
- Jonathan Ragan-Kelley
- Justin Lee
- Kensen Shi
- Matthew J. Johnson