I’m a postdoctoral researcher at the IMAGE section of the Department of Computer Science (DIKU), developing methods for medical image analysis, at the intersection of physics, biology, and data-driven modeling.

I did my PhD in Biophysics at the Niels Bohr Institute as part of the Kirkegaard Lab. My dissertation, Mind the Gradient: Differentiable Computational Methods in Microorganism Behaviour Studies, studied differentiable techniques (automatic differentiation) to better understand microorganisms behavior, with a heavy focus on optimality in biological systems.
Here is some of the research I've done.

I've also developed several open-source libraries, mostly around JAX.

Always open to new ideas and collaborations.

If for some reason you want to know more, there are some details on my CV Page.

• Differentiable Programming
• Physical Sciences
• Computational/Probabilistic Modeling
• Biological Systems
• Scientific Machine Learning
• Computer Vision