Clark Center, Stanford University
318 Campus Drive, Stanford, CA, United States
Research Interests
My main research interest lies in understanding how the human neuromusculoskeletal system enables agile, skillful and robust movement. I focus on improving computational neuromusculoskeletal models and simulation methods, but perform experimental work as well for validation. The computational techniques I use to simulate the neuromusculoskeletal system are grounded in optimal control theory.
Degrees
PhD, Movement Sciences, Catholic University Leuven, 2021
MS, Biomedical Engineering, Catholic University Leuven, 2015
BS, Mechanical Engineering, Catholic University Leuven, 2013
Representative Publications
Van Wouwe T., Ting L. H., & De Groote F. (2022) An approximate stochastic optimal control framework to simulate nonlinear neuro-musculoskeletal models in the presence of noise. PLOS COMPUTATIONAL BIOLOGY
Van Wouwe T., Afschrift M., Dalle S., Van Roie E., Koppo K. & De Groote, F. (2021) Adaptations in reactive balance strategies in healthy older adults after a 3-week perturbation training program and after a 12-week resistance training program. FRONTIERS IN SPORTS AND ACTIVE LIVING
Bayon C., Emmens A. R., Afschrift M., Van Wouwe T., Keemink, A. Q. L., van der Kooij, H., & van Asseldonk, E. H. F. (2020). Can Momentum-Based Control Predict Human Balance Recovery Strategies?. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 28(9), 2015-2024.
Van Wouwe T., Ting L. H., & De Groote F. (2020). Interactions between initial posture and task-level goal explain experimental variability in postural responses to perturbations of standing balance. JOURNAL OF NEUROPHYSIOLOGY, 125(2), 586-598.
Jiang Y., Van Wouwe T., De Groote F., & Liu C. K. (2019). Synthesis of Bio-logically Realistic Human Motion Using Joint Torque Actuation. ACM TRANSACTIONS ON GRAPHICS, 38(4), 12 pages.