S. Samani

About

I am an SNSF Postdoctoral Fellow in the Department of Nuclear and Particle Physics at the University of Geneva. My research combines experimental neutrino physics, detector instrumentation and machine-learning methods for neutrino astrophysics. I serve as convenor of the T2K ND280 Time-of-Flight detector and develop superscaling-based analyses to investigate nuclear-model effects on neutrino-energy reconstruction.

During my PhD at the University of Oxford, I developed machine-learning techniques to improve atmospheric-neutrino background rejection in Super-Kamiokande-Gd searches for the diffuse supernova neutrino background. Building on this experience, I initiated and led Hyper-Kamiokande supernova-neutrino studies on source localisation and emission-model discrimination, and am exploring machine-learning approaches to low-energy event reconstruction.

Employment

• University of Geneva Postdoctoral Researcher (SNSF Postdoctoral Fellow since April 2026)
  2024 - Present

Education

Education history is unavailable.

Projects & Funding

• T2K to Hyper-Kamiokande, Optimising the Path Swiss National Science Foundation
  2026 - 2028

Publications

Publications are unavailable.