William James Fawcett
Dr William Fawcett is a Research Associate with the High Energy Physics group at the Cavendish Laboratory, University of Cambridge. His research centres on the search for new fundamental physics with data from the CERN Large Hadron Collider. In particular, he is searching for so-called supersymmetric particles, whose discovery could shed light on the mysterious nature of dark matter, in addition to solving other mysteries of the universe.
William is also interested in the use of machine learning techniques to benefit scientific discovery, and he has worked at the interdisciplinary NASA frontier development lab as an artificial intelligence researcher. There he worked to develop techniques to assist future NASA missions to search for life beyond the solar system.
Prior to his appointment at Cambridge, William previously worked as a postdoctoral researcher at the University of Geneva, and received his doctorate from the University of Oxford.
Particle physics; supersymmetry; machine learning
DPhil, MPhys (Hons)
W. J. Fawcett et al, (ATLAS Collaboration) “Search for new phenomena with large jet multiplicities and missing transverse momentum using large-radius jets and flavour-tagging at ATLAS in 13 TeV pp collisions”, JHEP 12 (2017) 034
W. J. Fawcett et al, (ATLAS Collaboration) “Search for new phenomena in final states with large jet multiplicities and missing transverse momentum with ATLAS using TeV proton-proton collisions”, Phys. Lett. B. 757 (2016).
W. J. Fawcett et al (ATLAS Collaboration) “Pursuit of new phenomena in final states with high jet multiplicity, high jet masses and missing transverse momentum with ATLAS at TeV ”, ATLAS-CONF-2016-095
W. J. Fawcett et al (ATLAS Collaboration) “Summary of the ATLAS experiment’s sensitivity to supersymmetry after LHC Run 1 – interpreted in the phenomenological MSSM”, JHEP 10 (2015) 134.
W. J. Fawcett, et al (ATLAS Collaboration) “Constraints on promptly decaying supersymmetric particles with lepton-number- and R-parity-violating interactions using Run-1 ATLAS data” ATLAS- CONF-2015-018