Vassil serves as the lead for the Technology pillar of the NFCS NetworkPlus.
He joined the Hartree Centre as Chief Science Officer in 2019, bringing with him a wealth of application-focused research expertise. He holds a Masters degree in Applied Mathematics, MSU, and PhD degree in Parallel Computing, Bulgarian Academy of Sciences. His expertise and research are primarily in the area of Computational Science, Parallel and High Performance Computing, Scalable Algorithms, Monte Carlo methods and algorithms and emerging computing paradigms. He has co-authored over 130 publications.
Prior to his time at the Hartree Centre, Vassil held positions as ICREA Research Professor in Computational Science at Barcelona Supercomputing Centre (BSC-CNS) from 2010–2019, Distinguished Visiting Professor at Monterrey Institute of Technology and Higher Education (ITESM) from 2015–2018, and Professor of Computational Science and ACET Centre Director at the University of Reading from 1999–2010.
Vassil is a Chief Science Officer at Hartree Centre, STFC, UK, since March 2019. His focus is on defining and leading Hartree Centre research strategy and leading key areas of Centre research in exascale computing, scalable algorithms and quantum/classical computing. Previously he was an ICREA Research Professor in Computational Science, Barcelona, Spain (September 2010 – March 2019) and the Extreme Computing group leader at BSC, Spain (September 2010 – December 2018). He holds an MSc degree in Applied Mathematics from Moscow State University, Russia (1984) and a PhD degree in Parallel Computing from Bulgarian Academy of Sciences (1995). He has held previous positions at the University of Liverpool, UK (1994-1999), the University of Reading, UK (School of Systems Engineering, 1999–2010, as a Professor of Computational Science, and as the Director of the Centre for Advanced Computing and Emerging Technologies until July 2010). For the period January 2015 – January 2018 he was also a Distinguished Visiting Professor at Monterrey Tech.
His expertise and main research interests are in the area of Data and Computational Science encompassing research methods and algorithms for Data and Compute Intensive Science. In particular, the emphasis is on novel scalable stochastic and hybrid mathematical methods and algorithms such as scalable hybrid Monte Carlo algorithms for variety of supercomputing architectures for Linear Algebra, Optimisation, Computational Finance, Environmental Models, Computational Biology etc. as well as scalable, fault-tolerant and resilient algorithms for petascale architectures and the exascale computing paradigm.
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