I build high-performance scientific software at the intersection of physics, machine learning, and HPC.
- Physics + ML + HPC with a focus on differentiable physics
- Contributor to PyTorch (linalg (eig, eigh), cuSOLVER glue)
- Working on RCWA-based optical simulations with autograd support
- M.Sc. thesis @ Albert-Ludwigs-Universität Freiburg / Fraunhofer ISE
- Focus: computational optics & optimization of photonic structures, experimenting with agentic AI
- Preparing for PhD in computational physics / photovoltaics
- Python, PyTorch, CUDA
- HPC (bwUniCluster, NEMO 2)
- Scientific computing
- solwa – differentiable RCWA library (PyTorch-based)
- Experimental work on inverse design & optimization
- Differentiable simulation
- GPU-accelerated scientific computing
- Bridging physics models with modern ML workflows
- Open to collaborations in physics, ML, and scientific software
- Find me on LinkedIN: https://www.linkedin.com/in/johannes-zeiser-895155162/


