I am a research scientist at MakerMaker in San Francisco, a small research startup working on recursively self-improving AI agents. Previously, I was a PhD student at the AI department of the University of Groningen, working in the MINDS group of Prof. Herbert Jaeger. I was also affiliated with CogniGron and partially funded by Post-Digital. As part of my PhD, I was a visiting researcher at ETH Zurich and University of Gent. I was also a research intern at Google, working on AI agents for AR/VR, and Intel Labs, where I worked on new LLM architectures and efficient machine learning for Intel's neuromorphic Loihi 2 chip.

In research I keep a dual focus on advancing machine learning while exploring new compute paradigms and hardware for AI, especially those taking inspiration from the brain. I enjoy cross-disciplinary research between AI, computer science, mathematics, neuroscience, physics, and cognitive science.

Within ML, I am interested in efficiency, continual learning, meta-learning and automated machine learning, among other things. To make progress towards well-aligned and interpretable AI, I work on representation engineering and mechanistic interpretability of large language models.

I also work on physical and brain-inspired computing, developing theories that align computation with physics, in order to make better use of neuromorphic chips, photonic devices, and other physical computing systems.

I am also a hobby photographer, an enthusiastic coffee brewer, an avid motorcyclist, and I like to read, travel, and go to music and art events.