On the 21st of December, 2019, Steff Taelman’s dissertation on "A dual computational approach to map domain architecture in phage lytic proteins " was nominated for the EOS prize for best thesis in the exact sciences. This dissertation - a combined effort between KERMIT, BioBix and the Laboratory of Applied Biotechnology (supervised by M. Stock, Y. Briers, W. Van Criekinge and B. Criel) - used a combination of bioinformatics and machine learning to uncover design rules in bactericidal proteins encoded by viruses. Read Steff’s interview here and read his popular science article here.