Image Inverse Problems / Denoising MVP
A small minimum viable project exploring image denoising as an inverse problem with classical regularization ideas.
Academic portfolio
I am an undergraduate mathematics student exploring mathematical modeling, applied mathematics, statistics, computational imaging, data analysis, and small computer science projects.
Featured work
Short writeups that connect problem context, mathematical method, implementation choices, and next steps.
A small minimum viable project exploring image denoising as an inverse problem with classical regularization ideas.
Practice work for turning open-ended real-world questions into assumptions, variables, models, and defensible recommendations.
A compact data analysis project focused on cleaning, exploratory analysis, uncertainty, and clear visual communication.