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.

Samuel L Smith (Preferred)
,
Samuel L. Smith

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

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)
2018Present
 
Data scientist
babylon health (babylonhealth.com)
2016Present
 
Google Brain Resident
Google (google.com)
20172018
 
Data Scientist
babylon health (babylonhealth.com)
20162017
 
PhD student
University of Cambridge (cam.ac.uk)
20122016
 
Undergrad student
University of Cambridge (cam.ac.uk)
20082012
 

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
2018Present
 
Mentor
Quoc Le
****@google.com
2017Present
 
Coworker
Pieter-Jan Kindermans
****@google.com
2017Present
 
Mentor
Jascha Sohl Dickstein
****@google.com
2017Present
 
Coworker
Nils Hammerla
****@babylonhealth.com
20162017
 
PhD Advisor
Alex W Chin
****@cam.ac.uk
20122016
 

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
20172018
 
natural language processing, multilingual word vectors
20162017