Skills
Computational skills: SNP-array analysis, next-generation sequencing analysis (whole genome, exome, transcriptome, and epigenome), epigenomics (DNA methylation and chromatin profiling), single-cell RNA sequencing, ATAC-seq analysis, proteomics, spatial transcriptomics, statistical genetics, genomic imputation, post-GWAS analysis ( fine-mapping and colocalization), and R programming, Unix/Bash scripting, cloud computing (e.g., uppmax), various bioinformatic pipelines, and application of biostatistics and quantitative methods; high-performance computing (HPC) environments (e.g., batch, slurm, and modules)
Transferable skills: leadership skills, project management skills, grant writing, communication skills, mentoring, supervising, and teaching skills
Course director for KI doctoral course "Fundamental of Statistical Genetics and Data Visualization"
About
Experienced Principal Investigator and Associate Professor with a strong background in translational research and bioinformatics. Proven expertise in teaching, course development, and student supervision. Skilled in high-throughput sequencing technologies, statistical genetics, and computational analysis. Adept at project management, grant writing, and leading research teams.
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