About the event
This seminar will give an overview of the Clean Air in London project and the statistical machine learning research that the group is conducting in order to address some of the challenges in modelling, understanding and forecasting air pollution in London. This project is part of the Turing Data-Centric Engineering programme, with funding from Lloyd’s Register Foundation and the Greater London Authority.
Speaker Bio: Theo Damoulas joined the University of Warwick in 2015 from New York University where he has an Assistant Professor of Research (2013-2015). Before that he was a Research Associate in the department of Computer Science at Cornell University working with Prof. Carla P. Gomes, Prof. Bart Selman, and the CLO eBird team headed by Steve Kelling (2009-2013). He finished his PhD in 2009 under the supervision of Prof. Mark A. Girolami at the School of Computing Science, University of Glasgow. He holds an MSc in Informatics (Distinction) from the University of Edinburgh (2003-2004) and an MEng (1st Class) from the University of Manchester (1999-2003).