Annalise Schweickart

This study identifies that plasma proteins selectively reflect tissue-specific aging processes in muscle and ovary, revealing context-dependent age-related changes.

AutoFocus identifies multi-omic disease-associated modules across biological scales using a hierarchical framework, applied to type 2 diabetes and Alzheimer's datasets.

This study trains a variational autoencoder on metabolomics data to learn nonlinear latent representations and validates its generalizability across different disease cohorts.