I am a PhD student at the Department of Molecular Medicine (MOMA) at Aarhus University.
🎯 My work mainly focuses on computational methods for whole-genome sequencing data from healthy and diseased tissue.
- sensitive methods for rare variant discovery
- ctDNA detection and quantification
- de novo mutations detection
- genomic target prediction based on sequence context
- epigenetic modifications prediction
💻 My main computational focus is on:
- Streamlined and distributed genomic data analysis workflows
- Probabilistic modeling
- Tree-Based methods
- Deep learning approaches
- Probabilistic diffusion models
🔧 Methods I am applying in my day-to-day work:
- Coding: R, Python, bash
- Data wrangling and analysis: tidyverse, numpy, pandas
- Probabilistic modeling: STAN, JAGS, Pyro
- Deep learning: PyTorch, Keras
- Workflows: Snakemake, gwf, Nextflow
- Tree-Based modeling: XGBoost, XGBoostLSS, GBM
- Visualization: ggplot, matplotlib, seaborn, plotly