I specialize in the analysis of biomedical multi-omics data, discovery of biomarkers, gene prioritization, and drug response prediction. Since May 2021, I am heading research group Computational and Systems Medicine at the UHH. We develop algorithms and create computational tools for exploration of disease heterogeneity and patient stratification, reconstruction of regulatory networks, and prioritization of drugs and drug targets. Since the privacy of patient-derived data is a major roadblock on the way of personalized medicine, we work on privacy-aware methods for distributed patients’ data analysis.

I am a PhD student at the Institute for Computational Systems Biology at the University of Hamburg. I received a Bachelor's degree in Bioinformatics at the Goethe University in 2018 in Frankfurt, followed by a Master's degree in Bioinformatics at the TUM and LMU in Munich in 2021. I finished my Master's thesis by creating CADDIE, a web application for drug-repurposing in cancer. In 2019/20, I spent one year at the University of Helsinki. During my studies, I worked in different tech startups doing software development and engineering.My research interests revolve around network-based drug repurposing as well as different approaches to in silico biomarker identification, developing tools like Drugst.One (https://drugst.one/), UnPaSt (https://apps.cosy.bio/unpast/) and the Epistasis Disease Atlas (https://epistasis-disease-atlas.com/home). 

Since March 2023, I've been a visiting researcher at CoSy.Bio lab and a PhD student at the chair of Proteomics and Bioanalytics, TUM. I'm a part of the CLINSPECT-M project and am interested in personalized medicine and biomarker discovery. I have an interdisciplinary background in pharmaceutical chemistry and computational and molecular biology. I hold a specialist degree (equivalent to an MSc) in Pharmacy and an MSc in Chemistry. I worked on terminal transferase modifications for de novo DNA synthesis at the Institute of Bioorganic Chemistry (Minsk, Belarus) and studied interaction preference in gene regulatory networks during the Bioinformatics for Biologists CPD program.