In the broadest sense, our research uses modern computational methods to decode the biological information that is encoded in genomes. The genomic information we are especially interested in is functional information relevant in infectious disease agents, ranging from parasitic eukaryotes, bacteria, to viruses. Following this research, basic elements of molecular biology (such as genomic structure, DNA replication, transcription, translation, structural stability) are analyzed from a modern information engineering perspective that incorporates the transmission of genomic information from a sender, via a coder-channel-encoder device, to a receiver. This biodigital convergence is a far-reaching conjunction of digital communication theory and molecular biology at their most fundamental level.

Our scientific work also focuses on computational approaches to synthetic biology, ranging from understanding basic concepts, such a computational methods to tell synthetic from natural genomes, to developing specific bioengineering applications such as the design and control of thermostability in proteins. Synthetic biology is the disruptive technology of the 2020s. It is historically unprecedented for a single technology to have such an impact on not only medicine, food, livestock, defense sector, but also on the entire human society and the global biosphere.

From it an additional focus of our research are the technological risks and societal impacts that emerge from recent breakthroughs in synthetic biology and from the ongoing process of biodigital convergence.

MSc, University of Hamburg

PhD, Technical University Munich

Andreas Martin Lisewski on Google Scholar

Andreas Martin Lisewski on ResearchGate