Professor David O. Scanlon
University College London
Professor David Scanlon completed his undergraduate degree in Computational Chemistry at Trinity College Dublin (TCD) in 2006, before gaining his PhD in Chemistry also at TCD in 2011. He won the Royal Irish Academy Young Chemists Prize 2011, for “the most outstanding Irish PhD thesis of 2011 in the area of chemical sciences”. He then moved to the UK to take up a Ramsay Fellowship in the Department of Chemistry in University College London (UCL), where he has been ever since. He was appointed as a Lecturer in 2013, promoted to Reader (Associate Professor in the American naming convention) in 2016 and to Professor of Computational Materials Design in 2018. He is also a joint appointment with Diamond Light Source, the UK’s national synchrotron. He was awarded the 2015 RSC Harrison-Meldola Memorial Prize for the “development and application of computational techniques to understanding and predicting the properties of functional semi-conductors for energy applications” and was made a Fellow of the Royal Society of Chemistry. In 2018, he was awarded the UCL Student Union Student Choice Award for “Outstanding Research Supervision”, Following this he was shortlisted for the Times Higher Education Awards 2018 for “Outstanding Research Supervisor of the Year”.
Professor Scanlon’s main research interests are in computationally-driven materials design and characterisation (see website for more details). His work is at the forefront of the global effort to explore new materials based on computations and to advance the capacity of first-principles calculations to predict materials properties. He has published over 200 articles with over 12400 citations and an H-index of 61 (Google Scholar). He sits on the advisory boards of the Journal of Materials Chemistry C, Materials Advances, ACS Applied Energy Materials and Cell Reports: Physical Science. He is an ERC Starting Grant holder (2018-2023), his research has been funded by the EPSRC, the Faraday Institution (FI), and Innovate UK and he has raised over £10 million in funding since 2016. DOS has graduated 5 PhD students, and he currently leads a research team of 5 PDRA, 13 PhD students and 11 Masters students. DOS is a co-I on the FI Multiscale Modelling Fast Start and on the NEXGENNA and FutureCat Phase 2 projects, and is the lead academic for the FI’s dedicated supercomputer MICHAEL which is hosted at UCL.