Researcher

Matt Gardner

Also known as nlpmattg

Matt Gardner is a natural language processing researcher who wrote the original AllenNLP toolkit and coauthored the DROP reading comprehension benchmark. They did their PhD work on knowledge base completion with Tom Mitchell at Carnegie Mellon, then became a senior research scientist at the Allen Institute for AI, where they were first author of the 2018 AllenNLP paper and coauthored "Deep contextualized word representations", a Best Paper Award winner at NAACL 2018. In 2019 they worked as a visiting scholar at UC Irvine and co-hosted the NLP Highlights podcast. Next came Microsoft's Semantic Machines and then Scaled Cognition as Director, Research. They are a member of technical staff at Microsoft AI.

Now at
Microsoft

Timeline

  1. 2010–2012

    Particle swarm optimization papers

    They coauthor papers on particle swarm optimization with Andrew W. McNabb and Kevin D. Seppi, including "Speculative Evaluation in Particle Swarm Optimization" at PPSN 2010 and "A speculative approach to parallelization in particle swarm optimization" in Swarm Intelligence in 2012.

  2. 2013–2015

    Knowledge base completion at CMU

    As a PhD student with Tom Mitchell at Carnegie Mellon's Language Technologies Institute, they coauthor an EMNLP 2013 paper on learning and inference in a large knowledge base using latent syntactic cues. Their thesis explores the connection between graph-based and embedding-based methods for knowledge base completion, and in 2015 they and Mitchell publish "Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction" at EMNLP.

  3. 2018

    A Best Paper Award at NAACL

    They coauthor "Deep contextualized word representations" with Matthew E. Peters, Luke S. Zettlemoyer and others, which receives the Best Paper Award at NAACL 2018. The paper introduces word vectors learned from the internal states of a deep bidirectional language model and improves the state of the art on six NLP problems.

  4. 2018

    The AllenNLP toolkit

    At the Allen Institute for AI, where they are a senior research scientist on the AllenNLP team, they are first author of "AllenNLP: A Deep Semantic Natural Language Processing Platform", published in July 2018 at the Workshop for NLP Open Source Software. They are the original author of the toolkit, a library for applying deep learning methods to NLP research with command-line tools, declarative configuration-driven experiments and modular NLP abstractions.

  5. 2019

    DROP and a UC Irvine visit

    In 2019, they work as a visiting scholar at UC Irvine, collaborating with Sameer Singh's NLP group. With Singh, Dheeru Dua and others, they coauthor DROP, a 55,000-question reading comprehension benchmark that calls for discrete operations such as addition, counting and sorting, published at NAACL 2019.

  6. November 2019

    Co-hosting NLP Highlights

    In November 2019, they co-host NLP Highlights, a podcast from Ai2 researchers where guests discuss their work in natural language processing, with Pradeep Dasigi and Waleed Ammar.

  7. 2022

    AllenNLP enters maintenance mode

    The AllenNLP library they first authored goes into maintenance mode in 2022: Ai2 adds no new features and answers questions and fixes bugs until December 2022, as it turns to new initiatives.

  8. As of October 2026

    Technical staff at Microsoft AI

    After Ai2, they work at Microsoft's Semantic Machines and then at Scaled Cognition as Director, Research. As of October 2026, they are a member of technical staff at Microsoft AI.

Career

  1. NowMicrosoftMember of technical staff
  2. 2019University of California, IrvineVisiting Scholar
  3. From 2018Allen Institute for AI (Ai2)Senior Research Scientist
  4. Scaled CognitionDirector, Research

Education

  1. 2015Carnegie Mellon UniversityPhD

Sources and credits

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  1. Matt Gardner matt-gardner.github.io. Checked 21 October 2026.
  2. Matt Gardner matt-gardner.github.io. Checked 21 October 2026.
  3. Deep Contextualized Word Representations - ACL Anthology aclanthology.org. Checked 21 October 2026.
  4. AllenNLP: A Deep Semantic Natural Language Processing Platform - ACL Anthology aclanthology.org. Checked 21 October 2026.
  5. ICS News Archive - UC Irvine Donald Bren School of Information & Computer Sciences ics.uci.edu. Checked 21 October 2026.
  6. DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs - ACL Anthology aclanthology.org. Checked 21 October 2026.
  7. AI2 Newsletter, November 2019 allenai.org. Checked 21 October 2026.
  8. GitHub - allenai/allennlp: An open-source NLP research library, built on PyTorch. github.com. Checked 21 October 2026.
  9. matt-gardner (Matt Gardner) · GitHub github.com. Checked 21 October 2026.
  10. About Us | Scaled Cognition scaledcognition.com. Checked 21 October 2026.
  11. Matt Gardner | Digg · Digg digg.com. Checked 21 October 2026.