An interactive web-based tool for visualization of Finite Element Method (FEM) simulation results, with a focus on biomedical applications. Developed as part of DFG SPP 2311 and installable as an open-source Python package via PyPI.
About
- M.Sc. student in Biophysics at Humboldt University of Berlin
- Working as student assistant in the research group of Dr. Matthias König
- Focus on systems biology, systems medicine, and computational pharmacology
- Research interests include PBPK modeling and digital twins
- Development of reproducible model pipelines for model-informed precision dosing
Currently
- Developing VisFEM, a web platform for FEM simulation visualization, as part of DFG SPP 2311
- Supporting manuscript development and editing for ongoing publications in the König Lab
- Working on reproducible PBPK modeling workflows
- M.Sc. coursework in systems biology, dynamic modeling, and medical biophysics
Projects
CNN-based prediction of mean ribosome load (MRL) from 5′ UTR sequences, investigating how reducing polysome profiling resolution affects model performance. Trained on 280,000 sequences with 5-fold cross-validation across five resolution schemes; model interpretation via Integrated Gradients (Captum).
Interactive web application implementing the glimepiride digital twin for personalized and stratified diabetes treatment, built with Marimo and deployable via Docker. Accompanies the glimepiride PBPK/PD model and the corresponding publication in Frontiers in Pharmacology.
Physiologically based pharmacokinetic (PBPK) model of glimepiride distributed in SBML format, including liver, kidney, intestine, and whole-body submodels. Accompanied by a COMBINE archive, FAIR assessment, and reproducible simulation pipeline.
Publications
Featured
First Author
Co-Author
Thesis
Development of a whole-body PBPK model of glimepiride based on curated clinical data, investigating pharmacokinetic variability due to renal and hepatic impairment, bodyweight and CYP2C9 genetic variants.