My research at TU/e focuses on in situ personalization of medical signal processing systems. I manage a small team of PhD and MSc students on a quest to change the future of hearing aid systems. We take a probabilistic graphical modeling approach that is inspired by Bayesian machine learning and computational neuroscience. Here I present a few representative reports and articles of our recent work. Feel free to contact me if you are a student and want to inquire about doing a research project with me. In that case, it would also help if you browse through our student starter’s guide.

Recent Articles and Theses