PhD student working on multimodal machine learning with interests in language grounding, compositional generalisation, neuro-symbolic methods, and responsible AI.
Currently finishing my thesis!
My research interests revolve around the problem of combining multiple modalities, such as images and text, in machine learning from a language understanding point of view. Some of my research has focused on probing semantic language representations to better understand what concepts they capture.
Currently, I have three focus areas; compositional generalisation in multimodal language models, neuro-symbolic methods, and human-centered and thrustworthy AI (e.g. through the critical analysis of large language models, cognition-aware hybrid decision systems). Get in tourch if any of these areas sound interesting!
I am also a project member of the European Lighthouse of AI for Sustainability (ELIAS): https://elias-ai.eu/about/
Apart from the general interest in most areas of computing science, other interests include ethics and AI, music, and vintage vehicles.
Currently no teaching, but have previously given assignments, lectures, and courses at the department. Most recent teaching duties was on the fundamentals of AI, and Machine Learning. Before that I taught distributed systems, data communication, interaction and design, as well as an assortment of programming courses (C, Java, Python).
I have supervised both Bachelor and Master theses, and am open for more.