Anqi Wu

Structure-informed theoretical modeling defines principles governing avidity in bivalent protein interactions

The paper develops a theoretical framework to predict avidity in bivalent protein interactions using structure-informed modeling and experimental validation.

A signaling inspired synthetic toolkit for efficient production of tyrosine phosphorylated proteins

The paper introduces a synthetic toolkit for efficiently producing tyrosine phosphorylated proteins by leveraging signaling-inspired targeting interactions.

Brain kernel: a new spatial covariance function for fMRI data

The paper introduces a new spatial covariance function for fMRI data called the brain kernel, which captures non-stationary spatial correlations and improves decoding and factor analysis.

Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders

This paper introduces a video analysis tool that combines supervised pose estimation with unsupervised dimensionality reduction to extract interpretable behavioral features from animal videos, improving downstream analyses.