Marcel

Marcel is a postdoctoral researcher at the COSMO Lab at École Polytechnique Fédérale de Lausanne (EPFL) in Lausanne, Switzerland. He specializes in applying machine learning to materials science problems, with a focus on developing graph-based machine learning potentials and JAX-based computational tools.

• Current affiliation: EPFL (COSMO Lab)
• Previous affiliations: Fritz Haber Institute (NOMAD Laboratory), TU Berlin (Machine Learning group)

Research interests include:

• Machine learning for materials discovery and simulation
• JAX-based scientific computing frameworks
• High-performance computing for molecular simulations

He has contributed to open-source projects like glp, jax-pme, and gkx, which enable efficient computational chemistry workflows.