Andrea Tagliasacchi

Simon Fraser University

Names

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

Andrea Tagliasacchi (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.

****@uvic.ca
,
****@google.com
,
****@gmail.com
,
****@sfu.ca
,
****@gmail.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.

Associate Professor
Simon Fraser University (sfu.ca)
2022Present
 
Associate Professor
University of Toronto (utoronto.ca)
2020Present
 
Researcher
Google (google.com)
2018Present
 
Assistant Professor
UVic (University of Victoria) (uvic.ca)
20152018
 
Postdoctoral Fellow
EPFL (Swiss Federal Institute of Technology Lausanne) (epfl.ch)
20132015
 
PhD student
SFU (Simon Fraser University) (sfu.ca)
20072013
 
MS student
Politecnico di Milano (polimi.it)
20052007
 

Advisors, Relations & Conflicts

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

Coauthor
Helge Rhodin
****@cs.ubc.ca
2023Present
 
Coworker
David Fleet
****@cs.toronto.edu
2021Present
 
Coworker
Geoffrey H. Hinton
****@gmail.com
2020Present
 
Coauthor
Kwang Moo Yi
****@cs.ubc.ca
2017Present
 
Postdoc Advisor
Mark Pauly
****@epfl.ch
20132015
 
PhD Advisor
Daniel Cohen-Or
****@gmail.com
20072013
 
PhD Advisor
Richard (Hao) Zhang
****@cs.sfu.ca
20072013
 

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

Geometric Deep Learning
Present
 
3D Deep Learning
Present
 
Unsupervised Learning
Present