Decoding muscle dynamics reveals how interactions across the neuromotor pathway produce movement, where control breaks down, and how rehabilitation and assistive technologies can restore it.

Postdoctoral Researcher · NIH Clinical Center · NeuroRobotics Research Group

Muscle mechanics Closed-loop rehabilitation Bionic control Motor control science
Explore the pathway Research & Publications
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Core figure

Neuromotor Pathway

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The neuromotor pathwayBrain, subcortical structures, spinal cord, muscle activation, muscle deformation, and joints form the feedforward pathway. Assistive technologies connect to brain, spinal cord, muscle, and joints. Muscle and joints send information to sensory feedback, which returns to brain and spinal cord. MuscleBrainSubcortical structuresSpinal cordMuscle activationMuscle deformationJointsSensory feedbackAssistive technologies
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Research program

Research Program

Three stages build from foundational research thrusts to cross-signal coupling metrics and, ultimately, predictive and intervention tools.

Stage 1 · Years 0–5 · Current foundation

Four research thrusts

Stage 1 is divided into four research thrusts. Thrusts 1–3 are active areas of current work; Thrust 4 captures the sensory-feedback foundation that informs the broader program.

Stage 1 research thrusts
  • Thrust 1 · Neuromotor disorder biologyCurrent
  • Thrust 2 · Multimodal interfaces for bionic controlCurrent
  • Thrust 3 · Fundamental motor control at the muscle levelCurrent
  • Thrust 4 · Sensory feedback integration
Stage 2 · Years 2–7

Quantify couplings across the pathway

Develop cortico-muscular, electro-mechanical, musculo-kinematic, musculo-sensory, and kinematic-sensory metrics that quantify cross-signal relationships across the full chain and localize impairment.

  • Coherence, cross-correlation, structural models
  • Perturbation and adaptation paradigms
  • Generalization across CP, stroke, SCI, and amputation
Stage 3 · Years 5–10+

Translate metrics into intervention

Use validated metrics to forecast response and support clinician-in-the-loop therapy decisions.

  • Observational data collection during standard care
  • Prediction of treatment response
  • Metric-guided rehabilitation trial
Research and publications

Research & Publications

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Publications Hover or select a paper to filter the project list

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Complete bibliography

Scientific communication

Talks & Presentations

Invited seminars, conference presentations, thesis talks, workshops, and professional panels.

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Academic contributions

Academic Contributions

Teaching, mentorship, scholarly review, workshop leadership, and service to the research community.

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Teaching

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Mentorship

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Academic Service & Outreach

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Peer Review

Journals

Conferences and related review activity

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Workshop Leadership

BioRob 2024
Background

Career Timeline

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Contact

Contact

Open to collaborations, questions, and conversations about movement science, neuromuscular sensing, and rehabilitation technology.