Yu Tian

Yu Tian

WINQ Research Fellow



I am a research fellow at Nordita, funded by Wallenberg Initiative on Networks and Quantum information (WINQ). My PIs are Prof. Frank Wilczek (Nordita and MIT) and Prof. John Wettlaufer (Nordita and Yale). My research involves various aspects of network science, including dynamics and optimisation, the incorporation of negative (e.g. friend-foe relationships) and complex-valued weights, and community detection.

I received my PhD from University of Oxford, where I was very fortunate to be supervised by Prof. Renaud Lambiotte and also my industrial collaborators from Tesco Data Science Team. I was also part of Cohort 5 in the EPSRC Centre for Doctoral Training for Industrially Focused Mathematical Modelling (InFoMM).

Please find my CV here.

  • Network and Data Sciences
  • PhD in Mathematics, 2018 - 2022

    University of Oxford

Recent Publications

Quickly discover relevant content by filtering publications.
(2024). A minimal model of cognition based on oscillatory and reinforcement processes. In arXiv.

PDF Preprint

(2024). Spreading and structural balance on signed networks. In SIAM J. Appl. Dyn. Syst..

PDF DOI Preprint

(2023). Curvature-based Clustering on Graphs. In arXiv.

PDF Preprint