Computing HPC Software Performance Engineer
|Dr. Olli Lupton is a HPC Software Performance Engineer in the Computing Division.
As a member of the HPC team, Olli works on the optimisation and development of the cellular simulation toolchain, ensuring that the Blue Brain software performs well on new, and increasingly heterogeneous, massively parallel computing architectures.
Before joining the Blue Brain Project, Olli worked on the LHCb experiment at CERN for eight years, both as a PhD student and as a postdoc. LHCb is one of four large particle detectors served by the Large Hadron Collider. He was involved in a wide range of activities including the analysis of collision data using novel techniques, data-driven calibration of the detector, and extensive work on the high-performance software ‘trigger’ system that decides – in real time – which of the millions of particle collisions occurring every second to save for later analysis.
Olli has an MSci in Natural Sciences (Experimental and Theoretical Physics) from the University of Cambridge and his DPhil (PhD) in Particle Physics was gained at the University of Oxford in the UK.
While working on the LHCb experiment at CERN, Olli won the LHCb-UK PhD thesis prize, the LHCb thesis prize and the LHCb early career scientist prize.
Outside of work, Olli enjoys skiing (cross-country & touring), mountaineering, cycling, photography and generally being out and about enjoying nature!
R. Aaij et al., A comprehensive real-time analysis model at the LHCb experiment, Journal of Instrumentation 14.04 (2019): P04006, arXiv:1903.01360
S. Farry et al., Understanding and constraining the PDF uncertainties in a W boson mass measurement with forward muons at the LHC, The European Physical Journal C 79, no. 6 (2019): 1-13, arXiv:1902.04323
R. Aaij et al., Tesla: an application for real-time data analysis in High Energy Physics, Computer Physics Communications 208 (2016): 35-42, arXiv:1604.05596
LHCb collaboration, Studies of the resonance structure in D0 → KS0 K+− π−+ decays, Physical Review D 93.5 (2016): 052018, arXiv:1509.06628