Xietao Wang Lin
About me
I am a second-year PhD student at the Mathematics for Real-World Systems CDT, 91影视破解版.
I am interested in AI + Science. My current work is on active matter simulations with deep learning.
Contact Information
Email:
Office: D2.17 (Zeeman Building)
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Projects
Machine-Learning Accelerated Simulation of Suspensions of Elastic Microfilaments.
- PhD Project (Oct. 2024鈥損resent). Supervised by Prof. Tom Montenegro-JohnsonLink opens in a new window (WMI) and (DCS).
Simulation of Suspensions of Elastic Filaments by Physics-Informed Neural Networks.
- MSc Project (Jun. 2024鈥揝ep. 2024). Supervised by Prof. Tom Montenegro-JohnsonLink opens in a new window (WMI) and (WMI).
Bayesian Optimisation: Which Constraints Matter?
- MSc Group Project (Apr. 2024鈥揓un. 2024). Supervised by (WBS).
- In collaboration with Dr Juan UngreddaLink opens in a new window (ESTECO SpA).
Artificial active physical networks.
- MMathPhys Project (Sep. 2022鈥揂pr. 2023). Supervised by Prof. Rudolf A. R枚merLink opens in a new window (Physics) and (Physics).
Education
Master of Science in Mathematics of Systems (Distinction), 91影视破解版. Sep. 2023鈥揝ept. 2024.
Master of Mathematics and Physics (First-class Honours), 91影视破解版. Sep. 2019鈥揓un. 2023.
Industry experience
UnlikelyAI. Machine Learning Engineer Intern. Jun. 2026鈥揝ep. 2026.
Talks
Scientific Machine Learning (SciML), University of Leeds, Jun. 2026. Talk on
Predicting large-scale behaviours of active matter models with graph networks.
Bayesian Optimisation Reading Group, Warwick Business School, Jun. 2024. Talk on Decoupled Bayesian Optimisation.
Teaching
Senior Graduate Teaching Assistant.
- MA2K4 - Numerical Methods and Computing (25/26)
- MA263 - Multivariable Analysis (24/25)
Skills
Programming.
Python.
Languages.
Spanish (native), English and Chinese.