Jun Yamamoto
Department of Network and Data Science, Central European University.
Jun Yamamoto is a PhD candidate at the Department of Network and Data Science at Central European University in Vienna, Austria, with his research interests in statistical physics and complex networks.
He is currently working on topological and spectral properties of physical networks, i.e. networks whose nodes and edges are mapped to Euclidean space under some physical constraints. He is supervised by Márton Pósfai and co-supervised by János Kertész.
He earned his Bachelor of Engineering in Applied Physics at Hokkaido University, with his thesis on the bifractal property of fractal scale-free networks (supervised by Prof. Kousuke Yakubo). Consequently, he completed his Master of Science in Mathematics at Queen Mary University of London, with his dissertation titled “Modelling higher-order network dynamics in the presence of triadic interactions” under the supervision of Prof. Ginestra Bianconi.
In addition to his academic pursuits, he has professional experience as a data scientist specializing in network analysis.
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