🔬 Data Scientist at Uniklinik RWTH Aachen, Germany
🧬 Specializing in Computational Biology & Bioinformatics
🤖 Passionate about applying Machine Learning to healthcare and cancer research
📚 Believer in "Learning by Doing" — using output to push input
| Project | Description |
|---|---|
| Mutational Signature Analysis (hEMD) | Novel EMD-based patient clustering using hierarchical etiology-aware distances for cancer mutational signatures |
| Project_AML classification | Transcriptomic differential expression and trajectory analysis for myeloid malignancies |
| Metabolomics Pattern Analysis | Identification of metabolic patterns and biomarkers |
| Transcriptomics Signatures | Discovery and validation of gene expression signatures |
| MutSig Distance Comparison | Benchmarking various distance metrics for mutational signature analysis |
| Repository | Description |
|---|---|
| ML_Algorithms | 🌟 Comprehensive ML learning: 38 notebooks covering 147+ topics from fundamentals to cutting-edge |
| Bioinformatics Practice | Bioinformatics analysis scripts, pipelines, and workflows |
| Mathematics for ML | Mathematical foundations for machine learning (Linear Algebra, Calculus, Prob/Stat) |
| Python Notes | In-depth Python programming notes and code snippets |
| R Notes | R programming references and statistical analysis examples |
| Linux & Git | Mastery of command line tools and version control systems |
| AWS Cloud | Notes on cloud computing services and deployment |
| SQL | Database management and query optimization |
"Knowledge is objective; how knowledge is handled is dynamic and variable."
"If you want to know whether you understand something, create something by yourself."
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