Professor Deane was one of a panel of experts contributing to the RSC report, which sets out a vision for how digital technologies will enable and accelerate scientific discovery and solutions to global challenges.
In September 2019 the Royal Society of Chemistry set out to gain a more in-depth understanding of the long-term promise of and concerns about the use of data and digital technologies for scientific discovery by inviting 14 experts from different scientific fields and sectors to its first Strategic Advisory Forum. This forum brought together leaders from the natural sciences and digital fields to set out a vision for how digital technologies – from computational chemistry and multiscale modelling to machine learning and robotics – will enable and accelerate scientific discovery and solutions to global challenges.
Professor Deane was asked to attend to contribute her expertise and experience in protein bioinformatics, and bring a unique perspective on the rapidly evolving, interdisciplinary frontier across science and digital technologies. For more, please go to the MPLS website.
Professor Charlotte Deane elected Fellow of the Royal Society
Professor Charlotte Deane MBE, Professor of Structural Bioinformatics in Oxford’s Department of Statistics, has today been announced among the new Fellows of the Royal Society.
OpenBind releases first open dataset and AI model for drug discovery
The OpenBind consortium’s first release of experimental data marks a milestone in efforts to improve how artificial intelligence (AI) is used in drug discovery.
Oxford statisticians take part in PKU–Oxford conference on quantitative finance and data science
Researchers from the University of Oxford’s Department of Statistics were among those taking part in a joint conference with Peking University in April, bringing together academics working across quantitative finance, data science and related areas.