Zeyu Chen

This paper introduces GO-CRE, a method for designing cell-type-specific cis-regulatory elements by reconstructing sequence-grammar trajectories and using reinforcement learning with predictor guidance.

This paper develops a microengineered platform to study CAR T cell therapy in human solid tumors, showing improved trafficking and effector function, and identifying therapeutic targets and biomarkers.

This study shows that targeting TET2 in CAR T-cells improves their anti-tumor responses by limiting terminal exhaustion and enhancing therapeutic potential.

Lamian is a statistical framework for analyzing pseudotime differences across multiple scRNA-seq samples, improving generalizability by accounting for sample variability.