Hanlin Sun

Hanlin Sun

Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellow

University of Granada, Spain

Biography

Hanlin is a Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellow at the University of Granada, Spain, hosted by Prof. Miguel Ángel Muñoz, where he builds a network model for the mechanisms of epilepsy dynamics. He works on dynamic processes on networks and higher-order networks, percolation and critical phenomena, inference and optimization on networks, and interdisciplinary problems connecting network science, statistical physics, quantum networks, and neuroscience.

Hanlin holds a Ph.D. in Applied Mathematics. During his PhD at Queen Mary University of London, he worked on network theory. His research focuses on several aspects of dynamic processes on networks and other structures with higher-order interactions, such as simplicial complexes and hypergraphs, under the supervision of Prof. Ginestra Bianconi.

From 2023 to 2026 he was a WINQ Research Fellow at Nordita, Stockholm, and in 2024 a visiting AccelNet/MultiNet Fellow at Indiana University with Prof. Filippo Radicchi.

Download my CV.

Interests
  • Percolation theory
  • Message-passing algorithm
  • Hypergraphs and simplicial complexes
  • Epidemic spreading
  • Statistical Physics
  • Inference and Optimization on networks
  • Multilayer networks
  • Quantum networks
Education
  • PhD in Applied Mathematics, 2023

    Queen Mary University of London, UK

  • BSc in Physics, 2019

    University of Chinese Academy of Sciences, China

  • Visiting student, 2018

    KTH Royal Institute of Technology, Sweden

  • Visiting student, 2018

    Aston University, UK

News

Experience

 
 
 
 
 
Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellow
Sep 2026 – Present Granada, Spain
Network model for the mechanism of epilepsy dynamics, hosted by Prof. Miguel Ángel Muñoz.
 
 
 
 
 
Board Member
Feb 2025 – Present
Representing NetPlace, a society of young network scientists.
 
 
 
 
 
WINQ Research Fellow
Sep 2023 – Aug 2026 Stockholm, Sweden
Research fellow funded by The Wallenberg Initiative on Networks and Quantum Information (WINQ).
 
 
 
 
 
AccelNet-MultiNet Fellow
Sep 2024 – Dec 2024 Bloomington, Indiana, US
Research fellow funded by AccelNet-MultiNet program.
 
 
 
 
 
PhD researcher
Queen Mary University of London
Sep 2019 – Aug 2023 London, United Kingdom
PhD in Applied Mathematics. Studied percolation on networks and higher-order structures under the supervision of Prof. Ginestra Bianconi.
 
 
 
 
 
Visiting student
Aston University
Jul 2018 – Aug 2018 Birmingham, United Kingdom
Study the inference and optimization on multiple interacting spreading processes under the supervision of Prof. David Saad.
 
 
 
 
 
Visiting student
KTH Royal Institute of Technology
Jan 2018 – Jun 2018 Stockholm, Sweden
Course project on Parallel Computing, Artificial Neural Networks and Deep Learning.
 
 
 
 
 
Visiting student
Institute of Theoretical Physics, Chinese Academy of Sciences
Jun 2017 – Jan 2018 Beijing, China
Study low-rank approximation algorithms on tensor networks under the supervision of Prof. Pan Zhang.
 
 
 
 
 
BSc in Physics
University of Chinese Academy of Sciences
Sep 2015 – Jul 2019 Beijing, China