Adrian Röllin

Adrian Röllin is a Professor at the Department of Statistics and Data Science, National University of Singapore. He leads research in distributional approximations, Stein’s method, and infectious disease modeling. The department is actively recruiting tenure-track faculty and postdocs in statistics and data science.

• Current affiliation: National University of Singapore
• Department: Statistics and Data Science

Research interests span probability theory, stochastic modeling of epidemics, and machine learning applications to active matter systems. His recent work involves Lévy-type processes and transition path theory.

• Key methodologies: Stein’s method, Score-based algorithms, Dynamical network modeling
• Application areas: Neuroscience, Epidemiology, Statistical physics

Scientific contributions include serving as Chair of the Scientific Programme Committee for the 65th ISI World Statistics Congress (2025). He co-supervises PhD students and visiting researchers, with recent graduates working on SIR epidemic models and Lévy noise dynamics.

• PhD advisees: Ryo Imai, Shang Li, Wai Hoh Tang
• Postdocs: Francesca Cottini, Yuanfei Huang, Tianshu Cong

His GitHub projects include csgc for subgraph statistics, RSTISim for STI simulations, and a residual convolutional neural network for Reversi game AI. He also co-authored a humorous whiskey tasting study.