Tibor Auer is a research fellow at the University of Surrey in Guildford. His research interests include brain dynamics in short and long term. His main project is on optimising neuromodulation approaches, such as tACS based on real-time neural signals, and he also collaborates in other real-time fMRI projects. He is working on how to improve the temporal resolution and reliability of fMRI-based neurofeedback, and develops OpenNFT, a Python/Matlab framework for real-time fMRI neurofeedback and automatic analysis, a Matlab framework to process multimodal neuroimaging analysis pipelines. He is also a strong supporter of transparency and replicability of neuroimaging approaches, and he is involved in international initiatives such as the Brain Imaging Data Structure providing a standard of organising neuroimaging data. Tibor received his PhD in clinical neuroscience from the University of Pécs, Hungary, where he implemented various neuroimaging techniques in a clinical environment. His first post-doc project at the Biomedizinische NMR Forschungs GmbH in Max-Planck Institute for Biophysical Chemistry in Göttingen focused on real-time fMRI-based neurofeedback with special emphasis on the implementation and the optimization of the experimental setup and the analysis. He has also implemented real-time fMRI-based neurofeedback while he was working at the MRC Cognition and Brain Sciences Unit in Cambridge and then at the Royal Holloway University of London.