Samuel Unicomb has a background in physics and computing, and applies methodologies from both disciplines to his postdoctoral research at MACSI. As an undergraduate he studied physics at UNSW, Sydney, with a leaning towards statistical and computational subdisciplines. After graduating with first class honours, he joined a computer science graduate program at Ecole Normale Supérieure in Lyon, France, where he obtained his PhD in 2020. The program was one of the first in Europe whose focus was explicitly centred around complex systems. During this program, Sam began work on models of network-based dynamical processes, and commenced a collaboration with Prof. James Gleeson of MACSI, leading to a visit to UL in 2018. This work laid the foundations of research that continued through to his postdoc.


His research interests lie in the area of complex systems and networks, where he works on developing mathematical models of information diffusion over networks. More broadly, he has a strong interest in scientific and mathematical computing, as well as numerical methods. 

 

Research Interests: complex systems, complex networks, network science, computational and statistical physics, scientific computing, numerical methods, distributed computing. 

Working with: Prof. James Gleeson