Xietao Wang Lin
About me
I am a second-year PhD student at the Mathematics for Real-World Systems CDT, University of Warwick.
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)
LinkedInLink opens in a new window, GitHubLink opens in a new window
Projects
Machine-Learning Accelerated Simulation of Suspensions of Elastic Microfilaments.
- PhD Project (Oct. 2024–present). Supervised by Prof. Tom Montenegro-JohnsonLink opens in a new window (WMI) and Dr. Paris GiampourasLink opens in a new window (DCS).
Simulation of Suspensions of Elastic Filaments by Physics-Informed Neural Networks.
- MSc Project (Jun. 2024–Sep. 2024). Supervised by Prof. Tom Montenegro-JohnsonLink opens in a new window (WMI) and Dr. Joseph WebberLink opens in a new window (WMI).
Bayesian Optimization: Which Constraints Matter?
- MSc Group Project (Apr. 2024–Jun. 2024). Supervised by Prof. Juergen BrankeLink opens in a new window (WBS).
- In collaboration with Dr. Juan UngreddaLink opens in a new window (ESTECO SpA).
Artificial active physical networks.
- MMathPhys Project (Sep. 2022–Apr. 2023). Supervised by Prof. Rudolf A. RömerLink opens in a new window (Physics) and Prof. Matthew TurnerLink opens in a new window (Physics).
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.
- MA2K4 - Numerical Methods and Computing (25/26)
- MA263 - Multivariable Analysis (24/25)
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.