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 research involves various aspects of network science, including dynamics and optimisation, the incorporation of negative signs (e.g. friend-foe relationships), 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.

  • Networks and Complex Systems
  • PhD in Mathematics, 2018 - 2022

    University of Oxford

Recent Publications

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(2022). Spreading and structural balance on signed networks. In arXiv.

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(2021). Extracting complements and substitutes from sales data: a network perspective. In EPJ Data Sci.

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