afalisse@stanford.edu
Clark Center, Room S322
Research Interests
I am working on computational approaches to study human movement disorders. I primarily use optimization methods, biomechanical modeling, machine learning, and data from various sources (wearables, videos, medical images) to get insights into movement abnormalities and design innovative treatments and rehabilitation protocols.
Degrees
Ph.D. in Biomedical Sciences, KU Leuven, 2019
M.S. in Biomedical Engineering, UC Louvain, 2014
B.S. in Biomedical Engineering, UC Louvain, 2012
Honors and Awards
FWO Ph.D. Fellowship (2014)
Selected Publications
De Groote, F. and Falisse, A. Perspective on musculoskeletal modelling and predictive simulations of human movement to assess the neuromechanics of gait. Proceedings of the Royal Society B, 2021; 288: 20202432. https://doi.org/10.1098/rspb.2020.2432.
Falisse, A., Pitto, L., Kainz, H., Hoang, H., Wesseling, M., Van Rossom, S., Papageorgiou, E., Bar-On, L., Hallemans, A., Desloovere, K., Molenaers, G., Van Campenhout, A., De Groote, F., Jonkers, I. Physics-based simulations to predict the differential effects of motor control and musculoskeletal deficits on gait dysfunction incerebral palsy: A retrospective case study. Frontiers in Human Neuroscience, 2020; 14: 40. https://doi.org/10.3389/fnhum.2020.00040.
Dembia, C. L., Bianco, N. A., Falisse, A., Hicks, J. L., Delp, S. L. OpenSim Moco: Musculoskeletal optimal control. PLoS computational biology, 2020; 16 (12): e1008493. https://doi.org/10.1371/journal.pcbi.1008493.
Falisse, A., Serrancoli, G., Dembia, C.L., Gillis, J., De Groote, F. Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement. PLoS ONE, 2019; 14 (10): e0217730. https://doi.org/10.1371/journal.pone.0217730.
Falisse, A., Serrancoli, G., Dembia, C. L., Gillis, J., Jonkers, I., De Groote, F. Rapid predictive simulations with complex musculoskeletal models suggest that diverse healthy and pathological human gaits can emerge from similar control strategies. Journal of the Royal Society Interface, 2019; 16 (157): 20190402. https://doi.org/10.1098/rsif.2019.0402.
Falisse, A., Bar-On, L., Desloovere, K., Jonkers, I., De Groote, F. A spasticity model based on feedback from muscle force explains muscle activity during passive stretches and gait in children with cerebral palsy. PLoS ONE, 2018; 13 (12): e0208811. https://doi.org/10.1371/journal.pone.0208811.