D. Liyanage

D. Liyanage's research focuses on the physics of quark-gluon plasma, a state of matter created in high-energy collisions of heavy atomic nuclei, using computer simulations and statistical (Bayesian) methods to compare theoretical models against experimental data. Much of this work uses the JETSCAPE simulation framework to study how energetic particles called jets lose energy as they pass through this hot, dense matter, and applies machine learning tools to make these simulations more efficient and to better estimate physical properties of the plasma. Prospective students would likely engage with computational and statistical methods applied to nuclear/particle physics data.

Publication output was minimal or absent before 2020 but has grown substantially since, peaking in 2023-2024 with a notably active recent period.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026