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David Alvarez-Melis

Natural Language Processing (NLP) Machine Learning Semidefinite Programming Domain Adaptation Speech Recognition

About

I obtained a PhD in computer science from MIT, where I worked at CSAIL on various topics in machine learning and natural language processing. I also hold BSc (Licenciatura) and MS degrees in mathematics from ITAM and Courant Institute (NYU), respectively. During the latter, I worked on semidefinite programming for domain adaptation for my thesis. Between Master's and PhD, I spent a year at IBM's T.J. Watson Research Center, working in the Speech Recognigtion and NLP teams.

Research Performance Summary

85
Total Papers
4981
Total Citations
23
H-Index
2011-2025
Active Research Span

First Recorded Paper

El Teorema de Lax-Milgram, Generalizaciones y Aplicaciones

Year: 2011

Citations: 0

Venue: Instituto Tecnologico Autonomo de Mexico

Latest Recorded Paper

Reliable and Responsible Foundation Models

Year: 2025

Citations: 0

Venue: Transactions on Machine Learning Research

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
19
2024
17
2023
6
2022
6
2021
4
2020
4
2019
8
2018
7
2017
4
2016
3
2015
2

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 23
Journal 2
Book 1

Top Coauthors

Alvarez-Melis Jaakkola Fusi

Research Impact by Period

2025-2026

Period Stats
Papers 19
Citations 26
Avg. Citations / Paper 1.4
H-Index 3

2020-2024

Period Stats
Papers 37
Citations 774
Avg. Citations / Paper 20.9
H-Index 11

2015-2019

Period Stats
Papers 24
Citations 4179
Avg. Citations / Paper 174.1
H-Index 14

2010-2014

Period Stats
Papers 5
Citations 2
Avg. Citations / Paper 0.4
H-Index 1

Contact and Professional Links

Contact Information

dam@seas.harvard.edu
6174966399

Detected Research Keywords

Explaining Neural Networks Gradient Flows Dataset Flows Dataset Space Robust Interpretability Explaining Interpretability Explaining Neural Across Incomparable Spaces Word Embeddings Metric Embeddings Metric Recovery Metric Recovery Semantic Recovery Semantic Spaces