I’m a PhD student in Computer Science at , working with Prof. Alexander Mathis in the Mathis Group for Computational Neuroscience and AI. My research focuses on multimodal and continual learning for embodied systems, connecting perception, reasoning, and motor control.

Before my PhD, I completed an MSc in Robotics at EPFL and a master’s thesis at on continual skill learning for ANYmal, supervised by Prof. Marco Hutter and Prof. Caglar Gulcehre. I was also a student researcher at Zurich, where I worked on InkSight, an open-source system for converting images of handwriting into digital ink.

Earlier, I worked at EPFL CVLab on efficient 6D object pose estimation with modular quantization-aware training, at ByteDance AI Lab on multimodal representation learning, and on projects in 3D perception and Cryo-ET generative modeling.

Outside of research, I enjoy board games 🎲, soccer ⚽, tennis 🎾, and music 🎶. Feel free to reach out to me if you want to join in on a hike or play some board games.