David Alvarez-Melis

School of Engineering and Applied Sciences, Harvard University

Names

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

David Alvarez-Melis (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.

****@mit.edu
,
****@microsoft.com
,
****@csail.mit.edu
,
****@gmail.com
,
****@seas.harvard.edu

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.

Assistant Professor
School of Engineering and Applied Sciences, Harvard University (seas.harvard.edu)
2023Present
 
Senior Researcher
Microsoft (microsoft.com)
2021Present
 
Postdoc
Microsoft (microsoft.com)
20192021
 
PhD student
Massachusetts Institute of Technology (mit.edu)
20142019
 
MS student
New York University (nyu.edu)
20112013
 
Undergrad student
ITAM (itam.edu)
20062011
 

Advisors, Relations & Conflicts

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

Coworker
Nicolo Fusi
****@microsoft.com
2019Present
 
Coworker
Lester Mackey
****@microsoft.com
2019Present
 
Coauthor
Youssef Mroueh
****@us.ibm.com
2017Present
 
PhD Advisor
Tommi Jaakkola
****@csail.mit.edu
20142019
 
PhD Advisor
Mehryar Mohri
****@cs.nyu.edu
20112013
 

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

Large Language Models
2021Present
 
Optimal Transport
2016Present
 
Interpretability
2016Present
 
Deep Learning
2015Present
 
Neural Networks
2014Present
 
Natural Language Processing
2013Present
 
Machine Learning
2011Present