个人简历：
Lingbin Bian completed his PhD degree in Applied Mathematics and Statistics at the School of Mathematics, Monash University in 2021. His PhD supervisors are A/Prof Jonathan Keith (main), Dr Tiangang Cui and A/Prof Adeel Razi. His research interests include Bayesian statistical modelling, Artificial intelligence, Monte Carlo methods, time series analysis, brain networks and fMRI data analysis.
研究领域：
Bayesian statistical modelling, Artificial intelligence, Monte Carlo methods, time series analysis, brain networks and fMRI data analysis.
代表性论文：
Lingbin Bian, Tiangang Cui, B.T. Thomas Yeo, Alex Fornito, Adeel Razi, and Jonathan Keith. (2021) Identification of community structure-based brain states and transitions using functional MRI. NeuroImage, 244: 118635.
Lingbin Bian, Tiangang Cui, Georgy Sofronov, and Jonathan Keith. Network structure change point detection by posterior predictive discrepancy. Monte Carlo and Quasi-Monte Carlo Methods, MCQMC 2018, Rennes, France, July 1–6, pages 107– 123. Springer proceedings in Mathematics & Statistics, 2018.
