Samuel Gerner is a bioinformatician with a strong biological background. He studied Molecular Biotechnology (BSc, 2014) and Bioinformatics (MSc, 2016) at the University of Applied Sciences FH Campus Wien. Already during his studies, he worked as a bioinformatician on various projects, ranging from variant analysis for strain engineering in biotechnology to miRNA prediction.
After his studies, he started his PhD in 2016 at the University of Vienna, working on urban metagenomics in collaboration with the FH Campus Wien, as well as on host-pathogen interactions of Neisseria meningitidis, utilizing transcriptomic and proteomic data.
Beside his research, Samuel is also active as a lecturer at the University of Applied Sciences Wiener Neustadt, teaching “Comparative Genomics” and “Transcriptomics” in the Master of Science program Bio Data Science.