Current Focus
Image inverse problems, denoising/deblurring experiments, spectral intuition for diffusion models, and uncertainty-aware machine learning evaluation.
About
Learning mathematics through small computational projects.
I am an undergraduate mathematics student at The Chinese University of Hong Kong, interested in computational inverse problems, scientific computing, numerical methods, uncertainty quantification, and machine learning-related inverse problems.
Context
I am an undergraduate mathematics student at The Chinese University of Hong Kong. I am currently building small computational projects while learning applied mathematics, inverse problems, scientific computing, numerical methods, uncertainty quantification, and machine learning-related inverse problems.
I am still early in my undergraduate training, so I try to keep the work on this site modest and verifiable. My current habit is to build a small numerical experiment, check what fails, and write down the assumptions, metrics, and next questions clearly.
Interests
Computational Inverse Problems / Scientific Computing / Numerical Methods / Uncertainty Quantification / Machine Learning-related Inverse Problems / Applied Mathematics
How I Learn
Build a minimal working version, compare against baselines, evaluate with simple metrics, inspect failure cases, and keep notes clear enough to revisit later.
Beyond Coursework
I also care about writing, language, design, and making technical work understandable. Those interests stay secondary to the academic project pages, but they shape how I present work.