About

I am a pharmacologist turned research software engineer, and I am particularly interested in disentangling causal relationships in molecular biology. I pursue this goal as a part of the lab of Julio Saez-Rodriguez at the Heidelberg University Hospital.

Effectively dealing with the avalanche of biomedical measurements of today - without throwing away large parts of the data - requires a smart digital infrastructure. Thus, I am actively developing a unified framework for biomedical knowledge representation, BioCypher, as well as the prior knowledge database OmniPath, with the aim of automating harmonisation of biomedical representations for a multitude of research tasks.

Building on this infrastructure, I am developing methods for integrating Large Language Models into the biomedical research workflow, with the aim of increasing accessibility of biomedical knowledge and methods. The BioChatter project is a framework for connecting Large Language Models and auxiliary technologies to the biomedical world. Application examples for the framework’s functionalities can be found at https://chat.biocypher.org.

I have received funding from two EU projects, the Translational Quantitative Systems Toxicology project TransQST and the High-Grade Serous Ovarian Cancer project DECIDER. In addition, I have been awarded funding from the DFG and Open Targets to develop a new generation of biomedical knowledge mangement systems, starting in 2024.