Pose Estimation & Behavior AI
Developing robust keypoint detectors and deep learning models to quantify movement and behavior in spinal cord injury.
Research Focus
I specialize in pose estimation, viral vector engineering, and software design for high-throughput behavioral analysis. My work integrates computational tools with molecular engineering to understand spinal cord injury and recovery.
Developing robust keypoint detectors and deep learning models to quantify movement and behavior in spinal cord injury.
Building scalable software infrastructure and automated pipelines for large-scale behavioral characterization and analysis.
Designing and optimizing AAV vectors and molecular tools for circuit interrogation and gene therapy applications.
Investigating sensory deficits and recovery mechanisms using optical clearing, viral tracing, and quantitative behavioral assays.