👋 Hi! I’m a PhD student in the Evolutionary Intelligence group at the Dutch Institute for Maths & Computer Science (CWI).
My primary research interests are Hyperparameter Optimization and Neural Architecture Search (NAS). I believe leveraging Evolutionary Algorithms (EAs) for non-differentiable Machine Learning problems such as these is a potentially high-impact research direction. In addition to not requiring gradients, most EAs are trivial to parallelize & scale, so they are fully compatible with Sutton’s Bitter Lesson.
Research-wise I’m also interested in Explainable AI (my Master thesis was partly about using NAS for explainability) and image generation (the applied part of my PhD project is about privacy-preserving medical image data sharing with GANs).
Life-wise I’m into fantasy, hiking, and discussing weird ideas.
Always happy to chat about these topics!