Albert Tian Chen

The paper develops a modified AAV capsid that targets the human Transferrin Receptor to enhance gene delivery to the CNS, showing improved reporter expression and therapeutic potential for Gaucher disease.

The paper introduces Fit4Function, a machine learning approach to engineer AAV capsids with multiple traits, achieving high transduction efficiency and cross-species prediction.

This paper identifies AAV capsids that target specific proteins on the blood-brain barrier, enhancing CNS tropism and enabling predictable gene delivery vectors.

The paper introduces a resource for tracking SARS-CoV-2 mutations by location, date, and gene, with case studies on RBD SNVs, diagnostic primer sensitivity, and lineage emergence.

DART-ID improves single-cell proteome coverage by aligning retention times and using a Bayesian framework to enhance peptide identification and quantification.

DO-MS identifies and optimizes bottlenecks in LC-MS/MS methods by interactively visualizing and analyzing data from all analysis levels, improving ion delivery efficiency by 370% in one case.