I am a machine learning scientist at Sense Street, where I work on building NLP models for structured extraction from conversations.
Previously, I was a Ph.D. student at the University of Edinburgh, advised by Prof. Mark Steedman and Dr. Shay Cohen, researching natural language processing systems and investigating computational models for understanding human language. My Ph.D. work focused on discourse-related problems such as understanding documents and conversations; in particular, building models to detect and reason about entities in text (e.g., coreference resolution). I was affiliated with the Institute for Language, Cognition and Computation (ILCC).
I completed my M.Sc. in Computer Science at McGill University, where I researched text summarization systems. I was supervised by Prof. Jackie C. K. Cheung and Dr. Annie Louis. I also interned at Korbit, where I designed methods for providing personalized feedback in intelligent tutor systems.
Publications
Efficient Seq2seq Coreference Resolution Using Entity Representations
Matt Grenander, Shay B. Cohen, Mark Steedman
arXiv preprint 2025
[PDF]
Exploration of Plan-Guided Summarization for Narrative Texts: the Case of Small Language Models
Matt Grenander, Siddharth Varia, Paula Czarnowska, Yogarshi Vyas, Kishaloy Halder, Bonan Min
WNU 2025
Sentence-Incremental Neural Coreference Resolution
Matt Grenander, Shay B. Cohen, Mark Steedman
EMNLP 2022
[Code]
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian V. Serban, François St-Hilaire, Jackie C. K. Cheung
EAAI 2021
[PDF]
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Matt Grenander*, Yue Dong*, Jackie C. K. Cheung, Annie Louis
EMNLP-IJCNLP 2019
[Code]
[PDF]
Education
| 2020 - 2025 |
Ph.D. in Informatics at the University of Edinburgh Supervisors: Prof. Mark Steedman and Dr. Shay Cohen |
| 2017 - 2020 |
M.Sc. in Computer Science at McGill University Supervisors: Prof. Jackie C. K. Cheung and Dr. Annie Louis |
| 2013 - 2017 | B.Sc. (Honours) in Mathematics and Computer Science at McGill University |
Work Experience
| January 2026 - present |
Machine Learning Scientist Sense Street · London, UK |
| July - Oct. 2023 |
Applied Scientist Intern Amazon Web Services (AWS) · New York, USA |
| May - July 2022 |
Software Engineer Intern, Machine Learning Meta (Instagram) · London, UK |
| Jan. - Sept. 2020 | Machine Learning Intern Korbit Technologies · Montréal, Canada |