Luca Moschella

Sapienza University of Rome

Names

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

Luca Moschella (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.

****@gmail.com
,
****@di.uniroma1.it
,
****@uniroma1.it

Education & Career History

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PhD student
Sapienza University of Rome (uniroma1.it)
2019Present
 
Intern
NVIDIA (nvidia.com)
20222023
 
MS student
Sapienza University of Rome (uniroma1.it)
20172019
 
Undergrad student
Sapienza University of Rome (uniroma1.it)
20132017
 

Advisors, Relations & Conflicts

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

Coauthor
Giambattista Parascandolo
****@tuebingen.mpg.de
2021Present
 
Coauthor
Or Litany
****@gmail.com
2020Present
 
Coauthor
Maks Ovsjanikov
****@lix.polytechnique.fr
2020Present
 
Coauthor
Leonidas Guibas
****@cs.stanford.edu
2020Present
 
Coworker
Simone Melzi
****@di.uniroma1.it
2020Present
 
Coworker
Luca Cosmo
****@di.uniroma1.it
2020Present
 
Coworker
Riccardo Marin
****@di.uniroma1.it
2020Present
 
Coworker
Filippo Maggioli
****@di.uniroma1.it
2020Present
 
Coworker
Giorgio Mariani
****@di.uniroma1.it
2020Present
 
Coworker
Antonio Norelli
****@di.uniroma1.it
2020Present
 
Coworker
Andrea Santilli
****@di.uniroma1.it
2020Present
 
Coworker
Giovanni Trappolini
****@diag.uniroma1.it
2020Present
 
PhD Advisor
Emanuele Rodolà
****@di.uniroma1.it
2019Present
 
Coauthor
Andrea Sterbini
****@di.uniroma1.it
2019Present
 
Coauthor
Marco Temperini
****@diag.uniroma1.it
2019Present
 
Coauthor
Maria De Marsico
****@diag.uniroma1.it
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

No areas of expertise listed