Matt Coler

• 2020–present — Associate Professor, University of Groningen
• 2016–2020 — Assistant Professor, University of Groningen
• 2012–2016 — Head, Cognitive Systems, Innovation Center for Sensor Systems
• 2012–2013 — Instructor, University of Applied Sciences Amsterdam
• 2011–2012 — Postdoctoral Scientist, Free University Amsterdam
• 2006–2010 — Doctoral Researcher, Free University Amsterdam

Education

• 2007–2010 — PhD Linguistics, Free University Amsterdam
• 2006–2007 — MA Linguistics (cum laude), Free University Amsterdam
• 2002–2003 — Philosophy (major) and Mandarin Chinese (minor), University of Massachusetts

Training

• 2024 — Senior Teaching Qualification (STQ): GPT in the classroom
• 2024 — AI Empathy & Ethics, University of California MOOC
• 2023 — AI: Ethics & Societal Challenges, Lund University MOOC

Matt Coler received his PhD from the Free University of Amsterdam in 2010. After a postdoctoral appointment at his alma mater, he joined an AI start-up focused on acoustic sensors, where he served as head of the cognitive systems unit. In 2012 he returned to academia. He is currently an Associate Professor of Speech Technology at Campus Fryslân, University of Groningen, where he directs the MSc Speech Technology program and heads the Governance & Technology Department.

• 2023–2024 — LITHME COST Action CA19102 — Vice-Chair
  Collaborated on White Paper, short-term scientific missions, guest lectures, and related activities.

• 2017–2025 — H2020-MSCA-RISE-2017: COLING — Minority Languages, Major Opportunities: Collaborative Research, Community Engagement and Innovative Educational Tools
  €1.58M total (€189k for my team). Steering Committee Member and Work Package Leader.

• 2016–2019 — H2020-FET-Open: Phoenix — Exploring the Unknown through Reincarnation and Co-evolution
  €3.6M total (€237k for my team). Work Package Leader and Management Team Member.

• 2016–2019 — Polish Science Foundation TEAM Grant — Language as a cure: linguistic vitality as a tool for psychological well-being, health and economic sustainability
  €814k.

• 2015–2018 — Interreg VA ID3AS — Acoustic event detection
  €9.75M total (€200k for my team).

• Over €15M in competitively awarded international research funding across EU, national, and regional programmes.
• Leadership roles including Vice-Chair, Steering Committee Member, Work Package Leader, and Management Team Member.
• Funding portfolio spanning:
  • Speech technology and AI
  • Minority and low-resource languages
  • Language preservation
  • Human-centred technology
  • Acoustic sensing and machine learning

• 2025–present — Department Head, Technology, Governance & Innovation Department, Campus Fryslân, University of Groningen
• 2023–2025 — Chair, Faculty Research Institute, Campus Fryslân, University of Groningen
• 2021–2025 — Chair, Admissions Board, MSc Speech Technology, Campus Fryslân, University of Groningen
• 2021–2023 — Director, Graduate School, Campus Fryslân, University of Groningen
• 2021–2022 — Member, Extended Board, Campus Fryslân, University of Groningen
• 2018–2025 — Department Head, Language, Technology and Culture Department, Campus Fryslân, University of Groningen
• 2018–2022 — Admissions Board Member, University College Fryslân
• 2018–2020 — Chair, Ethics Committee, Campus Fryslân, University of Groningen

• 2025–2026 — Chair, ISCA Ethics Committee
• 2025–2026 — Ethics Chair, Interspeech — overseeing ethical standards for the field's largest and most prestigious conference
• 2024 — Co-organizer, Exploring the Dark Side of Future Language Technologies
• 2023–present — Working Group Member, CoARA — Ethics and Research Integrity Policy
• 2018–2020 — Chair, Ethics Committee, Campus Fryslân, University of Groningen

• 2021–2026 — Research Design (graduate), University of Groningen

• 2020–2025 — Culture 200 (undergraduate), University of Groningen
  Student evaluation score: 8.6/10

• 2023 — Introduction to Speech Technology (graduate), University of Groningen

• 2018–2020 — Culture 100 (undergraduate), University of Groningen

• 2015 — Sensor Technology (undergraduate), TU/e Eindhoven

• 2013–2014 — Communication (undergraduate), Amsterdam University of Applied Sciences

• 2012 — Anthropological Linguistics (undergraduate), Free University Amsterdam

Programs co-developed

• MSc Speech Technology — Development team lead
  Approved by the Dutch Ministry of Science with a perfect score.

• BSc Data Science & Society — Development team member

• BSc Global Responsibility & Leadership — Development team member

Courses (co-)developed

Graduate level

• Introduction to Voice Technology
• Thesis Design
• Speech Synthesis I & II
• Speech Recognition I & II
• Python for Speech Technology
• Machine Learning for Speech Technology
• Research Design

Undergraduate level

• Culture 100
• Culture 200

• Coler, M. & A. Nevins (2022). Minoritized and diaspora languages of Europe. Language Science Press.

• Dubois, D., C. Cance, Coler, M. & Paté, A., eds. (2021). Sensory Experiences: Exploring meaning and the senses. Benjamins.

• Avelino, H., Coler, M. & Wetzels, W.L.M., eds. (2015). Studies in laryngeal features of the indigenous languages of the Americas. Brill.

• Coler, M. (2014). A grammar of Muylaq' Aymara: Aymara as spoken in Southern Peru. Brill.

• Do, P., Coler, M., Dijkstra, J., Marchenko, I., Verkhodanova, V., & Le Maguer, S. (2025). The Blizzard Challenge 2025. Proceedings of The Blizzard Challenge 2025.

• Gao, X., Raghuvanshi, D., Li, Z., Bansal, S., Nayak, S., Kumar, N., & Coler, M. (2025). AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation. IEEE Transactions on Affective Computing.

• Nguyen, L., Nayak, S., & Coler, M. (2023). Improving Luxembourgish Speech Recognition with Cross-Lingual Speech Representations. IEEE Spoken Language Technology Workshop (SLT), 792–797.

• Verkhodanova, V., Coler, M., Jonkers, R., Timmermans, S., Maurits, N., de Jong, B., & Lowie, W. (2022). A cross-linguistic perspective to classification of healthiness of speech in Parkinson's disease. Journal of Neurolinguistics, 63, 101068.

• Everhardt, M. K., Sarampalis, A., Coler, M., Başkent, D., & Lowie, W. (2020). Meta-Analysis on the Identification of Linguistic and Emotional Prosody in Cochlear Implant Users and Vocoder Simulations. Ear and Hearing, 41(5), 1092–1102.

• Amooie, R., Hao, Y., De Vries, W., Dijkstra, J., Coler, M., & Wieling, M. (2026). Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation.

• Do, P., Coler, M., Dijkstra, J., Marchenko, I., Verkhodanova, V., & Le Maguer, S. (2025). The Blizzard Challenge 2025.

• Amooie, R., De Vries, W., Hao, Y., Dijkstra, J., Coler, M., & Wieling, M. (2025). Enhancing standard and dialectal Frisian ASR: Multilingual fine-tuning and language identification for improved low-resource performance. ICASSP 2025.

• Lux, F., Meyer, S., Behringer, L., Zalkow, F., Do, P., Coler, M., et al. (2024). Meta learning text-to-speech synthesis in over 7000 languages. Interspeech 2024.

• Li, Z., Chen, Y., Lai, H., Gao, X., Nayak, S., & Coler, M. (2026). SarcasmMiner: A Dual-Track Post-Training Framework for Robust Audio-Visual Sarcasm Reasoning.

• Li, Z., Zhang, Y., Gao, X., Nayak, S., & Coler, M. (2025). Modeling Sarcastic Speech: Semantic and Prosodic Cues in a Speech Synthesis Framework.

• Gao, X., Bansal, S., Gowda, K., Li, Z., Nayak, S., Kumar, N., & Coler, M. (2026). AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bimodal Data Augmentation. IEEE Transactions on Affective Computing.

• Raghuvanshi, D., Gao, X., Li, Z., Bansal, S., Coler, M., Kumar, N., & Nayak, S. (2025). Intra-modal Relation and Emotional Incongruity Learning using Graph Attention Networks for Multimodal Sarcasm Detection. ICASSP 2025.

• Li, Z., Gao, X., Zhang, Y., Nayak, S., & Coler, M. (2024). A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm. Interspeech 2024.

Available via ORCID, [Google Scholar](https://scholar.google.com/citations?user=zdhKTgEAAAAJ&hl=en&oi=sra), and linked publication databases.