The Faculty Council of the department of Computer Science of TU Dresden elected Ivo Sbalzarini as the new Dean of Computer Science in its constitutive meeting on December 15, 2021. Ivo Sbalzarini is Professor of Scientific Computing for Systems Biology at TU Dresden and Research Group Leader at the MPI-CBG. Ivo Sbalzarini thanks everyone for the trust put in him with this election. He succeeds Uwe Aßmann, Professor of Software Technology, who led the Faculty of Computer Science as its Dean from 2016 until now: “I am pleased to hand over my office to Ivo Sbalzarini, whom I value highly as a colleague and as a person. Not only is he an excellent scientist with a structured and goal-oriented way of working, but as previous vice dean, he has already often represented the faculty inside and outside the university in an exemplary manner. We will be happy to support him, because the upcoming topics, such as the promotion of excellent computer science research and high-quality teaching, will require active shaping in the coming years as well.”
Ivo Sbalzarini adds: “The coming years hold great potential for the Faculty of Computer Science of TU Dresden: new professorships, new curricula, new centers, and hopefully a new building will bring not only growth, but above all, room for creativity. I am committed to ensuring that these developments are rooted in a strong and coherent scientific vision and are driven forward in a collegial and harmonious atmosphere. Thus, I would like to use these opportunities constructively and positively to not only bring our faculty and the entire Dresden campus further forward in the quality of the important future topic of digital sciences, but also to promote diversity as the basis for creativity in an atmosphere of mutual respect.”
Ivo Sbalzarini joined the MPI-CBG in 2012 as a research group leader and also became a Professor of Computer Science at TU Dresden in 2014. He also heads the Center for Systems Biology Dresden (CSBD) as one of its directors. With his research group, Ivo Sbalzarini develops innovative computational approaches and algorithms for questions in modern biology. In doing so, his research group combines knowledge from computer science, mathematics, physics, and biology to develop and apply computational methods for the study of biological processes in 3D.