Jörn Andreas Kersten

Jörn Andreas Kersten is a Professor in the Department of Physics and Technology at the University of Bergen. His research focuses on theoretical particle physics, including topics such as beyond the Standard Model physics, neutrino physics, supersymmetry, and applications of machine learning in particle physics. He has contributed to studies on fermion mass hierarchies, sterile neutrino dark matter, sneutrino detectability, and gaugino mediation mechanisms.

His work spans high-energy physics and cosmology, with a strong emphasis on theoretical frameworks and their experimental implications. Recent efforts include leveraging machine learning techniques to enhance detection strategies for supersymmetric particles. He has advised at least one Master’s student, Eivind Kristen Osestad, on gas sensor modeling using quantum vacuum fluctuations.

No scientific awards or grants are explicitly mentioned in the provided text. His research is affiliated with international collaborations, including institutions in South Korea, Germany, and the United States.