David G. Lloyd

David G. Lloyd received the B.Sc. degree in mechanical engineering from the University of New South Wales, Sydney, N.S.W., Australia, in 1984, where after working in the aeronautical industry for several years, he received the Ph.D. degree in biomechanical engineering in 1994. He then undertook a postdoctoral training in neurophysiology and computational biomechanics in the Sensory Motor Performance Program, Northwestern University, Chicago, IL, USA. He is currently a Professor of musculoskeletal research, at the Menzies Health Institute Queensland, Griffith University, Brisbane, Qld., Australia, with adjunct Professorial appointments at the University of Western Australia, Crawley, W.A., Australia, and the University of Delaware, Newark, DE, USA. He is an International Leader in EMG-informed neuromusculoskeletal modeling and using this to understand causes and treatments for musculoskeletal disease and injury. He has more than 160 journal papers and more than 220 refereed conference abstracts and papers. He is on the editorial board of the Journal of Biomechanics, the Journal of Applied Biomechanics, and the Journal of Science and Medicine in Sport, and was three times elected for a full 6 year term on the executive council of the International Society of Biomechanics.

Associated articles

TBME, Featured Articles
Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies
The development of personalized neurorehabilitation and augmentation technologies requires the profound understanding of the neuro-mechanical processes underlying an individual’s motor function, impairment, and recovery. A major challenge is the difficulty of accessing the in vivo neural activity underlying human movement... Read more
TBME, Featured Articles
Predicting Athlete Ground Reaction Forces and Moments From Spatio-temporal Driven CNN Models
Conventional methods to generate ground reaction forces and moments (GRF/M) required for traditional inverse dynamics estimation of athlete joint forces and loads are confined to biomechanics laboratories far removed from the sporting field of play. This has been an ongoing... Read more
TBME,
Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies
This review aims to discuss clinically viable methods for accessing the neural information underlying an individual’s movement from electrophysiological recordings and the development of subject-specific musculoskeletal modeling formulations that can be driven by the extracted neural features... Read more
TBME,
Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies
This review aims to discuss clinically viable methods for accessing the neural information underlying an individual’s movement from electrophysiological recordings and the development of subject-specific musculoskeletal modeling formulations that can be driven by the extracted neural features... Read more
TBME,
Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies
This review aims to discuss clinically viable methods for accessing the neural information underlying an individual’s movement from electrophysiological recordings and the development of subject-specific musculoskeletal modeling formulations that can be driven by the extracted neural features... Read more