Samuel L Smith (Preferred)
, Samuel L. Smith
Samuel L Smith
Google DeepMind
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.
****@babylonhealth.com
, ****@gmail.com
, ****@cam.ac.uk
, ****@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.
Research Scientist
Google DeepMind (google.com)
2018 – Present
Data scientist
babylon health (babylonhealth.com)
2016 – Present
Google Brain Resident
Google (google.com)
2017 – 2018
Data Scientist
babylon health (babylonhealth.com)
2016 – 2017
PhD student
University of Cambridge (cam.ac.uk)
2012 – 2016
Undergrad student
University of Cambridge (cam.ac.uk)
2008 – 2012
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Manager
Yee Whye Teh
****@google.com
2018 – Present
Mentor
Quoc Le
****@google.com
2017 – Present
Coworker
Pieter-Jan Kindermans
****@google.com
2017 – Present
Mentor
Jascha Sohl Dickstein
****@google.com
2017 – Present
Coworker
Nils Hammerla
****@babylonhealth.com
2016 – 2017
PhD Advisor
Alex W Chin
****@cam.ac.uk
2012 – 2016
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
theoretical Physics, organic solar cells, open quantum systems (2012-2016)
Present
deep learning, RNNs, NLP (2016)
Present
generalization, stochastic gradient descent
2017 – 2018
natural language processing, multilingual word vectors
2016 – 2017