Projects
Open Source Contributions
Iām passionate about developing tools and algorithms that make bioinformatics more accessible and reproducible. Here are some of my key projects:
drugsens š¦
CRAN Package for Drug Sensitivity Analysis
A comprehensive R package for analyzing drug sensitivity from high-content imaging data. Features automated image processing, dose-response curve fitting, and statistical analysis.
R Image Analysis Statistics
CRAN | GitHub | Documentation
Research Projects
Current Focus
Leading a multi-institutional effort to identify novel biomarkers in rare gynecological cancers using integrated multi-omics approaches. This project combines:
- Whole genome sequencing
- Single-cell RNA sequencing
- Spatial transcriptomics
- Clinical proteomics
- Advanced machine learning
Goal: Develop a clinical decision support system for personalized treatment selection.
Past Projects
Developed an innovative platform combining microfluidics and electrical impedance spectroscopy for high-throughput drug screening. This work resulted in a patent application and multiple publications.
Technologies: Arduino, Python, COMSOL, Microfluidics
Mathematical modeling of praziquantel prodrugs to improve treatment options for schistosomiasis. Used population PK/PD approaches to optimize dosing regimens.
Technologies: R, NONMEM, Monolix
Collaborative Initiatives
Basel Computational Biology Network
Co-founder of a local community bringing together computational biologists for knowledge sharing and collaboration. We organize monthly meetups and workshops.
Resources
š Educational Materials
- SIB course cancer variant analysis - Comprehensive tutorial on how to to analyze genomic mutations in cancer genomics
Iām always open to collaborating on interesting bioinformatics projects! If you have an idea or need help with computational biology challenges, feel free to reach out.