Blog

Latent Diffusion Priors for Physics-Based Inverse Problems

Derives DDPM training and applies latent diffusion priors to Bayesian inversion, comparing BBVI and Metropolis MCMC.

Flash-SD-KDE: Accelerating SD-KDE with Tensor Cores

Reorders SD-KDE to expose GEMMs and accelerate density estimation on GPUs.

Matrix Sketching for Online Analysis of LCLS Imaging Datasets

Rank-adaptive matrix sketching plus PCA -> UMAP -> OPTICS for online monitoring of LCLS imaging data.

Score-Debiased Kernel Density Estimation (SD-KDE)

Shift-then-smooth KDE that uses score estimates to reduce leading-order bias.

Unsupervised Learning for Anomalous LZ Waveform Data

Fourier subsampling -> UMAP -> HDBSCAN for clustering LZ S2 waveforms and isolating anomalous populations.

Welcome

What I'm hoping to write about here — AI-for-Science, interpretability, and building robust systems.