Postdoc working on multimodal machine learning and the responsible use of AI
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 am working on the benchmarking of multimodal models, such as reasoning and ontological knowledge, and on methodologies for hybrid human-AI collaboration.
I have previously taught everything from introduction to programming in Python and datastructures to AI, machine learning, advanced distributed systems, and operating systems.
I have supervised Bachelor and Master thesis students. I am looking to supervise students, so please reach out if you are interested in any of the topics described above.