I am a computational biologist with an M.Sc. from the University of Stuttgart. Most of my work revolves around generative modeling for proteins. I am particularly interested in how energy-based and diffusion-based models can be used for structure prediction, de novo protein design, and conformational sampling, especially when they are built to respect the physics of biomolecular systems. More broadly, I care about developing methods that offer mechanistic insight into protein folding and conformational dynamics, rather than treating these as black-box prediction tasks.
I am currently looking for PhD or research positions in computational structural biology, machine learning for molecular science, or related areas. Feel free to reach out.