Post Doc Fellow, A&S College of Arts and Sciences
University of Cincinnati
United States of America
Summary
Advance neutrino experiment analysis by applying statistical fitting and deep learning for particle identification and event reconstruction on large-scale detectors, enabling searches for sterile and tau neutrino signatures with scalable computational methods.