Summary
Frank Rühle is a bioinformatician with a decade of experience translating diverse NGS and multiomics datasets into biological insights for academic research. Based at the Institute of Molecular Biology in Mainz, he supports scientists across IMB and the University of Mainz, designing and executing reproducible analysis workflows for sequencing, expression, and epigenetics data. His background includes postdoctoral research in genetic epidemiology and cardiovascular genomics, where he developed modular R/Bioconductor pipelines (publicly available on GitHub) and led statistical analyses of GWAS and systems-biology projects. Frank combines hands-on data processing with skills in study design and collaboration with clinicians, making him adept at turning complex experimental data into robust, interpretable results. He holds a PhD in Biotechnology (magna cum laude) and brings teaching and lab-supervision experience to core-facility operations. Notably, his work emphasizes integrating long non-coding RNA and multiomic layers for biomarker discovery in cardiovascular disease.
9 years of coding experience
Erasmus semester, Biology, Erasmus semester, Biology at Imperial College London
Dipl. Biol. (equals Master of Science), Biology, sehr gut (equals A), Dipl. Biol. (equals Master of Science), Biology, sehr gut (equals A) at RWTH Aachen University
PhD, Biotechnology, magna cum laude, PhD, Biotechnology, magna cum laude at Center for Applied Gene Sensor Technology, University of Bremen
German, English, Spanish