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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 and elastohydrodynamics. My current focus is applying Physics-Informed Neural Networks (PINNs) to solve partial differential equations.

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 Optimisation Reading Group, Warwick Business School, June 27, 2024 - Talk on Decoupled Bayesian Optimisation.

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.