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Xietao Wang Lin

About me

I am a first-year PhD student at the Mathematics for Real-World Systems CDT, University of Warwick.

My research spans numerical simulations using deep learning, complex fluids, elastohydrodynamics and active matter. My current focus is on scaling active and passive matter to hundreds of thousands of particles using machine learning.

Contact Information

Email: 

Office: D2.17 (Zeeman Building)

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Projects

Machine-Learning Accelerated Simulation of Suspensions of Elastic Microfilaments.

Simulation of Suspensions of Elastic Filaments by Physics-Informed Neural Networks.

Bayesian Optimization: Which Constraints Matter?

Artificial active physical networks.

Education

Master of Science in Mathematics of Systems (Distinction), University of Warwick. Sep. 2023–Sept. 2024.

Master of Mathematics and Physics (First-class Honours), University of Warwick. Sep. 2019–Jun. 2023.

Talks

Bayesian Optimization Reading Group, Warwick Business School, June 2024. Talk on Decoupled Bayesian Optimization.

Teaching

Senior Graduate Teaching Assistant.

  • MA263 - Multivariable Analysis (24/25)
Photo of Xietao Wang Lin

Skills

Programming.

Python (NumPy, SciPy, pandas, sklearn, XGBoost, TensorFlow, PyTorch, Flask), C (including MPI/OpenMP), Shell (Bash scripting), JavaScript (web scripting), MATLAB.

Technical.

Linux OS, High-Performance Computing, LaTeX, Git, Slurm.

Languages.

Spanish (native), English and Chinese.