Anders Kvellestad

Anders Kvellestad is a Researcher and Lecturer in Theoretical Physics at the University of Oslo. His work focuses on extensions of the Standard Model, particularly supersymmetry and theories with additional Higgs bosons, and their experimental testing at the Large Hadron Collider (LHC). He leads the development of the GAMBIT software tool, which facilitates global statistical analyses of beyond-Standard-Model theories. His research also encompasses statistical methods (Bayesian and frequentist) and machine learning applications in particle physics, including fast simulations and data analysis. Kvellestad has held postdoctoral and research roles at institutions such as Imperial College London and the Nordic Institute for Theoretical Physics (Nordita). He contributes to both academic teaching and public outreach, delivering lectures on computational physics and Bayesian statistics, and engaging in science communication through podcasts and media.

His academic journey includes a PhD from the University of Oslo (2015), an M.Sc. from the University of Bergen (2011), and a B.Sc. from the University of Bergen and University of Copenhagen (2009). He is a core developer of the GAMBIT and xsec software projects, which are open-source tools used globally for particle physics research. His work bridges theoretical and computational physics, emphasizing interdisciplinary collaboration across particle theory, statistics, and scientific computing.

Key projects include optimizing BSM physics searches at the LHC, interpreting LHC results for new physics, and leveraging machine learning for fast cross-section evaluations. His contributions to software development, such as the xsec tool for rapid LHC cross-section analysis, highlight his focus on computational efficiency and reproducibility in high-energy physics research.