I studied Theoretical Neuroscience.
I'm interested in how the brain processes information on the level of neurons and dendrites, how spiking neural networks can learn efficient codes, and how we can replicate this in simulation.
I work on Artificial Intelligence & Robotics.
I believe that the future of AI lies in embodied applications that need to interact with the world. Hence, I'm especially interested in AI hardware accelerators for real-time applications, for example in autonomous robots.
I work on "Neuromorphic" Integrated Circuit Design.
The brain is living proof of a scalable, robust, highly efficient and massively parallel computing architecture. I believe that we can steal some of its tricks to push beyond the limits of current mixed-signal circuit design.
I use Probabilistic Modeling.
The world is full of mysteries, and we all have our biases. I like to use Bayesian probabilistic models and sampling to deal with these facts.
I like Nature.
It is a cliché, but like approximately all scientists, I like to walk in the woods, hike in the mountains, or lie on the beach. That counts as a sport
… right⁈