معرفی
Ryan Martin is an Associate Professor and Chair of Undergraduate Studies in Physics & Astronomy at Queen's University. He is affiliated with the Particle Astrophysics group at Queen's and SNOLAB. His research focuses on neutrino physics and dark matter detection, involving experiments such as SNO+, Majorana Demonstrator, LEGEND, NEWS-G, and MINER. He also develops machine learning tools for data analysis and physics education.
- PhD: Queen's University (2009)
- MSc: Queen's University (2006)
- BScH: SSP Physics, Queen's University (2003)
Research interests include experimental particle astrophysics, specifically using solid-state detectors (germanium), liquid scintillators (SNO+), and gas-filled proportional counters (NEWS-G). Key technical expertise includes software development, data analysis with machine learning, and detector characterization. The Martin Research Group collaborates internationally on projects like the McDonald Institute and SNOLAB.
Current projects involve studying surface layers in point contact detectors, modeling detector signals, and applying machine learning to analyze sparse data from SNO+. Educational contributions include open-source tools like Qexpy and Qlicker, and open-access textbooks.
Advising: Supervises postdoctoral fellows like Mehdi Shafiee. Offers graduate research opportunities in detector development, data analysis, and neutrino/dark matter physics.
Labs/Teams: Leads the Martin Research Group, collaborating with Queen's Particle Astrophysics Group and international teams on experiments at SNOLAB.
