George Georgakilas

Throughout his doctoral studies and subsequent postdoctoral research, George Georgakilas specialized in the field of RNA biology, applying advanced machine learning (ML) and deep learning (DL) methodologies to tackle complex biological challenges. His work focused on extracting valuable insights from multi-source and multi-functional Next Generation Sequencing (NGS) data. During this period, he collaborated with interdisciplinary teams at prestigious research institutions, including the Hellenic Pasteur Institute (Athens, Greece), the Department of Genetics at the University of Pennsylvania (USA), and the Central European Institute of Technology at Masaryk University (Czech Republic).

Currently, his laboratory is actively involved in several European projects, with a strong emphasis on integrating ML into bioprocesses within the field of industrial biotechnology. The team is also engaged in developing computational environments that support the execution of scientific workflows in alignment with the FAIR (Findable, Accessible, Interoperable, Reusable) data principles.

In addition, the lab conducts cutting-edge Bioinformatics research in the areas of single-cell and spatially resolved transcriptomics, as well as epigenomics. Their work includes the development of novel explainable AI (XAI) methodologies, applicable across a range of ML algorithms—including DL models—to extract biological insights and help bridge the gap between basic and translational research.