Chester Tan

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Hi! I’m Chester. Welcome to my personal website :)

I’m a PhD Student with Ingo Scholtes at the chair of Machine Learning for Complex Networks, Center for Artificial Intelligence and Data Science (CAIDAS), Julius-Maximilians-Universität Würzburg, currently focusing on temporal/dynamic graphs/networks and connecting graph machine learning / geometric deep learning with discrete spacetime approaches to quantum gravity. Some other research interests include (long-range) sequence models, machine learning methods for particle physics, and collective intelligence, and I love trying to connect them all!

Spacetime Random Geometric Graph

I was previously at Imperial College London where I did an MSci in "Physics with Theoretical Physics", and studied complexity science and network science with some wonderful people at the Centre for Complexity Science including Max Falkenberg and Tim Evans and Kim Christensen.

I’m interested in many things including network science, complexity science, physics, machine learning, free and open source software, and much more!

Thank you for visiting my website :) The following list lists all my other online presences. If you’d like to chat about anything at all please feel free to contact me through your most preferred platform!

Find Me


Where I try to sound more impressive than I actually am: my CV.

A Photo

And in case you’d like to know what I sort of look like:

Profile Picture

Source Code

This site is built using Jekyll with the Github Pages Hacker theme, hosted by GitHub, and deployed using GitHub Pages. Find its source code here.