The official webpage for MLO lab.

AI-powered model auditing agent with multi-agent debate for robust evaluation of machine learning models.

A pipeline for analyzing bone sample data using cell coordinates and .ims images, performing spatial transformations, Kernel Density Estimation (KDE), and hierarchical clustering for enhanced spatial insights.

A multi-view latent variable model with domain-informed structured sparsity for integrating noisy feature sets.

A library for auditing ML models under distribution shifts

This project estimates bone age based on spatial features extracted from multiplex images, aiming to relate the spatial remodeling introduced by treatment with the aging process.