معرفی
Are Raklev is a Professor at the University of Oslo's Department of Physics. His research focuses on theoretical and computational physics, particularly dark matter, particle physics at CERN's LHC, and applications of machine learning. He holds leadership roles in the GAMBIT Collaboration and its Collider Working Group.
Education: PhD (University of Bergen, 2007), Postdoc (University of Cambridge, 2009), and Associate Professor at the University of Oslo (2010-2013) before becoming a full Professor in 2013. His teaching includes classical mechanics and electrodynamics (FYS3120) and supersymmetry (FYS5190/9190).
Research Interests: Dark matter detection, Higgs boson studies, software for computational physics, and machine learning techniques like Gaussian processes. He leads projects like GAMBIT (a global inference tool) and PLUMBIN' (to address computational bottlenecks in high-energy physics).
Recent publications span superconducting magnet design for colliders, quantum computing error correction, and nuclear isotope production. His work bridges theoretical insights with experimental applications at CERN and other facilities.
