Yu Tian

Yu Tian

ELBE Postdoc Fellow

MPI PKS

MPI CBG

Biography

I am a ELBE postdoc fellow at Center for Systems Biology Dresden (CSBD), Max Planck Institute for Physics of Complex Systems (MPI PKS) and Max Planck Institute for Cell Biology and Genetics (MPI CBG). My research focuses on the interaction between structure and dynamics in network systems, specifically when the relationship between entities is necessarily characterised by a real or complex value, or a matrix. I also work on the downstream applications in biological and quantum systems, and machine learning.

I received my PhD from the University of Oxford in Oct. 2022, under the supervision of Prof. Renaud Lambiotte and in collaboration with Tesco Data Science Team. Between 2022 and 2024, I was a research fellow at Nordita, funded by Wallenberg Initiative on Networks and Quantum information (PIs: Prof. Frank Wilczek at Nordita and MIT and Prof. John Wettlaufer at Nordita and Yale).

Please find my CV here.

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

    University of Oxford

Recent Publications

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(2024). Matrix-weighted networks for modeling multidimensional dynamics. In arXiv.

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(2024). Structural balance and random walks on complex networks with complex weights. In SIAM J. Math. Data Sci..

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(2024). A minimal model of cognition based on oscillatory and reinforcement processes. In arXiv.

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

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

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