Research

Spinal Cord Injury (SCI)

We use a T8 lateral hemisection in mice, which produces asymmetric deficits analogous to Brown-Séquard syndrome — ipsilateral motor loss and contralateral sensory loss. We track how both sides recover over weeks to months.

• Characterizing the sensory and motor deficits produced by T8 lateral hemisection
• Tracking which functions recover (and which don't) across acute and chronic time points
• Testing whether gait metrics can serve as reliable endpoints for treatment studies

Motor Control & Biomechanics

I perform quantitative gait analysis in rodent injury models, extracting kinematic and spatiotemporal measures from video to evaluate locomotor function across animals, time points, and treatment groups.

• Stride timing, cadence, and stance/swing ratio from each limb
• Joint angle trajectories and inter-limb coordination patterns
• Ground reaction force estimates for comparing treatment effects

Deep Learning Gait Analysis

Markerless pose estimation lets us go from manual behavioral scoring to automated, frame-level kinematic data. I apply deep learning models for both pose tracking and downstream classification — currently focused on spontaneous pain detection from gait signatures.