🧑💻 Github
I am a Ph.D. candidate in the Data Science and Analytics Thrust at Hong Kong University of Science and Technology (Guangzhou), specializing in neural solvers for Partial Differential Equations.
I am now supervised by Prof. Wei WANG and co-supervised by Prof. Zhilu LAI.
My current research interests include:
I am actively seeking research collaborations and industry internship opportunities. Freely contact me at [email protected] — ideally with a brief proposal or a TODO list aligned with your team's goals.
2023 ~ Present: Ph.D. Student in Data Science and Analytics
2019 ~ 2023: B.Eng. in Mechatronics
We are building an open repository for parameterizing functionals in scientific machine learning within function spaces. If you are interested in participating, please contact me.
Recently, we have uploaded our work on epistemic uncertainty quantification for neural operators to arXiv, introducing a novel scheme that reframes weight-space epistemic uncertainty as noise perturbations confined to the lifting-weight subspace.
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