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Gergely Katona is a Professor at the University of Gothenburg, leading a structural biology research group that specializes in crystallographic investigations, with a focus on exploring the dynamic states of proteins. His research is notable for advancing techniques that allow for the analysis of enzyme activities and their interactions. By employing physical and chemical triggering techniques, his team examines transient states of reacting enzymes, providing insights into their molecular structures and functional mechanisms. Gergely's work incorporates Artificial Intelligence and Machine Learning to enhance biophysical experiments, particularly in the area of time-resolved structural determination. He has developed methods to analyze crystallographic data and has significant experience using state-of-the-art technologies such as Bayesian analysis. Beyond research, Gergely is actively involved in teaching and supervising students at various academic levels, fostering a comprehensive understanding of biomolecular science and promoting independence in research training.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).