Joseph Sandoval
I build computer vision and deep learning systems for quantitative behavioral analysis. My recent work uses pose estimation and behavioral video to characterize motor function and identify behavioral signatures of spontaneous pain in preclinical spinal cord injury models.
Previously, I worked in the Chen Lab at UTMB on spinal cord injury recovery. I hold a B.S. in Kinesiology from the University of Houston–Clear Lake.
Selected work
- Computer visionPose estimation and joint tracking for kinematic analysis.
- Behavioral modelingDeep learning models for motor-state classification and spontaneous pain phenotyping.
Publications and presentations
- Decoding Motor States in SCI LocomotionConference poster — Mission Connect 2025 (Overall Best SCI Poster), 2025
- Deep Learning-Based Behavioral Fingerprinting for Spontaneous Pain Detection in SCIConference poster — Mission Connect 2025, 2025
- Characterize spatiotemporal development of central neuropathic pain in T8 lateral hemisection SCI mouse modelConference poster — Mission Connect 2025, 2025
- Sensory Deficits in Mice with Lateral Spinal Cord Hemisection Mimic the Brown–Séquard SyndromeJournal of Neuroscience 45(44): e2373242025, 2025
- Utilizing Fiber Photometry to Detect Neuropathic Pain in Mouse Models of Spinal Cord InjuryPoster — Department of Neurobiology, University of Texas Medical Branch, 2024
Recognition
- Overall Best SCI PosterMission Connect 2025, November 2025
- Craig H. Neilsen Foundation Research SupportCraig H. Neilsen Foundation, August 2024