Rate My Professor Christoph Dellago

Dellago's research focuses on computational statistical mechanics, with pioneering developments in simulation algorithms such as transition path sampling for rare events including nucleation at phase transitions, chemical reactions, and biomolecular reorganizations. His interests encompass machine learning applications for molecular structure recognition and free energy surfaces, self-assembly of nanocrystals, folding and unfolding of biopolymers, interfaces in aqueous systems, phase separation in alloys, thermo-polarisation, cavitation, freezing, and non-equilibrium work fluctuations. He has co-authored approximately 200 publications in journals such as Science, Nature Nanotechnology, Proceedings of the National Academy of Sciences, Physical Review Letters, and Nano Letters. Key works include foundational papers on transition path sampling (Journal of Chemical Physics, 1998-1999). Dellago has received the Förderpreis der Stiftung Futura (1997), Raymond and Beverly Sackler Prize in the Physical Sciences (2005), and UNIVIE Teaching Award (2014). He has organized conferences like the 11th Liquid Matter Conference, served as President of the CECAM Council (2014-2016), Chair of the European Physical Society Liquids Board (2008-2011), and held numerous committee roles in supercomputing and research programs, influencing the field through methodological innovations and leadership.