Systematically learn and evaluate the latent geometry of high-dimensional data, with a focus on scRNAseq analysis
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Updated
Apr 1, 2026 - Python
Systematically learn and evaluate the latent geometry of high-dimensional data, with a focus on scRNAseq analysis
Curvature and Laplace-Beltrami estimation on triangulated surface meshes
Python library for differential geometry, providing numerical tools for intrinsic geometric computations and PDE solving on manifolds.
Multigrid solver for inverse Laplace-Beltrami equation.
Eigenvalues and eigenfunction of Laplace-Beltrami operator on a Möbius strip.
Public versions of my manuscripts.
Advanced Geometric Image Processing & Partial Differential Equations (PDEs). From foundational heat equations to Finsler, Randers, and Miron metric flows. Features Numba/CUDA hardware acceleration, multichannel vector diffusion, structural validation (SSIM, EPI), and an end-to-end custom anisotropic filtering library.
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