Dr Han Liang Gan
Qualifications: PhD UniMelb
My main field of research is in applied probability theory, particularly in distributional approxmations using Stein's method. Applications of my work can be found in a variety of fields such as population genetics, random graph theory, computational biology and queueing systems to name a few.
Gan, H. L., & Kolaczyk, E. D. (2018). Approximation of the difference of two Poisson-like counts by Skellam. Journal of Applied Probability, 55(2), 416-430. doi:10.1017/jpr.2018.27
Gan, H. L., Röllin, A., & Ross, N. (2017). Dirichlet approximation of equilibrium distributions in Cannings models with mutation. Advances in Applied Probability, 49(3), 927-959. doi:10.1017/apr.2017.27
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