As a scientist at Schrödinger, Inc., I bridge the worlds of physics and drug discovery, developing cutting-edge computational solutions for life science applications. My research journey spans from theoretical biophysics to machine learning in drug development.

At Stanford University, I conducted postdoctoral research in the Dror Lab, where I leveraged supercomputer simulations to uncover the hidden mechanisms of membrane receptor signaling. I also developed and benchmarked machine learning approaches to predict the behavior of drug candidates.

In 2019, I earned my PhD from Goethe University, based on research conducted at the Max Planck Institute of Biophysics. There, I developed theoretical frameworks and molecular simulations to understand the fundamental physics of lipid membranes. Beyond the lab, I took on leadership roles in the German Physical Society’s student organization and as the Institute’s PhD student representative.

When I am not exploring the molecular world through simulations, I explore the world around me through photography, capturing the beauty of cities, landscapes, and everyday life.

News

• 2025-01-17: I contributed to a perspective about membrane permeability that was published in the Journal of Chemical Information and Modeling.
• 2025-01-07: The Journal of Chemical Physics published our article about PENSA, the analysis software to compare biomolecular conformational ensembles.
• 2024-12-06: Martini 3 parameters for carbon nanomaterials are out. Read the preprint on ChemRxiv!
• 2023-11-09: First publication about work at Schrödinger: “Is the Functional Response of a Receptor Determined by the Thermodynamics of Ligand Binding?” Our answer: Yes, it is! And we can use it to predict ligand efficacy.
• 2023: Now you can find me on Bluesky and Mastodon, too.