Professor

1540 Alcazar St., CHP 155,
Los Angeles, CA 90089-9006

Nicolas Schweighofer is a professor of biokinesiology and physical therapy and holds joint appointments in computer science, biomedical engineering and neuroscience at USC. He is also the director of the Center for Statistics and Computation in Biokinesiology.

He co-founded computational neurorehabilitation, an emerging field at the intersection of neurorehabilitation, computational neuroscience, motor control and learning, and artificial intelligence (AI). The overarching goals of computational neurorehabilitation are to understand and to further improve motor recovery following neurologic injury by mathematically modeling and simulating the neural processes underlying the change in behavior due to rehabilitation.

In his current research, he is investigating how predictive models of recovery, informed by the neuroscience of stroke recovery and motor learning, as well as large datasets, can provide the basis for AI methods that suggest timing, dosage and content of rehabilitation. Such an approach will transform neurorehabilitation by guiding clinicians, patients and healthcare providers in the optimization of treatments via precision rehabilitation.

• Post-Doctoral, Human information science Group, ATR, Kyoto Japan
• Doctor of Philosophy, University of Southern California, Los Angeles.
• Master of Science, École Nationale Supérieure de Mécanique
• “Mathematiques Speciales P’ ” Lycée Descartes, Tours

See Nicolas Schweighofer’s curriculum vitae.

See Nicolas Schweighofer’s PubMed page.

Computational Neuro-Rehabilitation Laboratory