Christoph Dellago is a professor of Computational Physics at Faculty of Physics of the University of Vienna. After obtaining his PhD in physics in 1996, he worked as postdoctoral researcher at the University of California at Berkeley, funded by a Schrödinger Fellowship of the Austrian Science. In 1999 he started his independent career as Assistant Professor at the University of Rochester before returning to the University of Vienna in 2003 as full professor.

In his research, Prof. Dellago focuses in the development of simulation algorithms and their application to investigate dynamical processes in condensed matter systems. In particular, he has helped to create the transition path sampling methodology for the simulation of rare but important events, such as nucleation at first order phase transitions, chemical reactions and biomolecular reorganizations. More recently Prof. Dellago has worked on applying machine learning methods to molecular structure recognition and the representation of potential and free energy surfaces. Recent research topics include self-assembly of nanocrystals, folding and unfolding of biopolymers, interfaces in aqueous systems, phase separation in alloys, thermos-polarisation, cavitation, freezing and non-equilibrium work fluctuations. Prof. Dellago has co-authored about 200 papers published in many journals including Science, Nature Nanotechnology, the Proceedings of the National Academy of Science of the USA, Physical Review Letters and Nano Letters.

Professor Dellago has served in various administrative positions, for instance as Vice-Dean and then Dean of the Faculty of Physics of the University of Vienna, and has organized numerous scientific meetings including the 11th Liquid Matter Conference, the 41th Meeting of the Middle European Collaboration in Statistical Physics (MECO) as well as numerous topical workshops. He has served as President of the Council of CECAM and currently he is the director of the Erwin Schrödinger Institute of Mathematics and Physics at the University of Vienna.