Willem Zuidema (a.k.a. Jelle) is associate professor of Computational Linguistics and Cognitive Science at the Institute for Logic, Language and Computation (ILLC) of the University of Amsterdam and research fellow of the national Language In Interaction consortium. Before joining ILLC in 2004, he worked at the University of Edinburgh (2002-2004), where he completed his PhD thesis on “The Major Transitions in the Evolution of Language”. He also worked at Sony Computer Science Laboratory - Paris (2000), the AI lab of the Vrije Universiteit in Brussels, (2000-2002), and in the Behavioural Biology group at Leiden University (2007-2008).
Erman Acar is an assistant professor for XAI in Finance at ILLC and IvI. His main research areas include neurosymbolic AI, explainability and interpretability in AI, computational logic, multiagent systems and their applications in financial technologies. He obtained his PhD in AI from University of Mannheim, Germany and masters degree in Computational Logic from TU-Vienna and TU-Dresden. He has been a visiting researcher to various institutions, including University of Bozen-Bolzano, University of Amsterdam, University of Calabria and University of Oxford. see: sup-erman.github.io for further information.
Ana Lucic is an assistant professor in interpretable machine learning at the ILLC and the IvI. Previously, she held research positions at Microsoft Research Amsterdam and at the Partnership on AI. She holds a PhD in explainable machine learning from the University of Amsterdam, along with an MSc and BSc, both in mathematics, from McMaster University in Canada.
Marianne de Heer Kloots is a PhD candidate advised by Jelle Zuidema and Raquel Fernández, with a background in linguistics and cognitive science. She is interested in modelling human speech perception and in interpreting deep learning models for speech processing.
Oskar van der Wal is a PhD candidate advised by Jelle Zuidema and Katrin Schulz. His research focuses on detecting social biases found in NLP models, such as gender bias and racism, and understanding how these biases are learnt from text. As part of the Bias Barometer project he investigates what these NLP models can teach us about our own biases and those in digital media.
Charlotte is a PhD candidate in the InDeep consortium that is led by Jelle Zuidema. Her PhD focuses on interpretability approaches to speech models.
Angela van Sprang is a PhD Candidate advised by Erman Acar and Jelle Zuidema, with a background in Artificial Intelligence. She works on (mechanistic) interpretability and is interested in interpreting deep learning models for applications in society.
Raquel Alhama completed her PhD in our lab in 2017 with a focus on Artificial Grammar Learning. Today, she is a postdoctoral researcher at the Max Planck Institute for Psycholinguistics in Nijmegen.
Raquel Fernández is an associate professor and the head of the Dialogue Modelling Group at the ILLC. She researches computational semantics and pragmatics with a special focus on linguistic interaction.
Ivan Titov is an associate professor at the University of Edinburgh and affiliated with the ILLC . His research focuses on Natural Language Processing and Machine Learning.
Tejaswini Deoskar is an assistant professor at Utrecht University, investigating probabilistic language models. In particular, she focuses on semi-supervised language learning techniques.
Henkjan Honing leads the Music Cognition Group at the University of Amsterdam. His research aims to identify the cognitive and biological mechanisms underlying musicality, as well as the commonalities and differences in the processing of music and language.