Dr Luca Modenese has wide interests in the field of computational biomechanics, ranging from developing methods to generate computational models of the musculoskeletal anatomy to using advanced dynamic analyses to understand the principles underlying human motion and motor control. These research topics of computational nature are always strictly connected to clinical applications, thanks to the collaboration with clinical figures such as gait analysis laboratories and surgeons.
Education and background
Luca Modenese was awarded a degree (summa cum laude) in Mechanical Engineering from the University of Padua in 2008 (Department of Industrial Engineering). After a brief period as Research Assistant, Luca started his doctoral training at Imperial College London, based in the Structural Biomechanics group. Luca received his PhD in 2013 and moved to Griffith University for a postdoc in the Centre for Musculoskeletal Research (now part of Menzie Health Institute Queensland), under the supervision of Prof. David Lloyd. During this period, he was awarded a visiting scholar fellowship to visit the Neuromuscular Biomechanics Lab at Stanford University. He also spent time as visiting researcher at the Auckland Bioengineering Institute and University of Padua. In 2015, Dr Modenese moved to the Deparment of Mechanical Engineering of Sheffield University (INSIGNEO Institute for in silico Medicine). During this appointment, he was involved in the European Project MD-Paedigree and the EPSRC project MultiSim, developing methods to generate patient-specific musculoskeletal models.
In 2017 Luca was awarded a prestigious Imperial College Research Fellowship for a project aiming to optimize the outcome of surgical interventions using a combination of advanced computational methods including patient-specific neuro-musculoskeletal modelling, finite element analysis and predictive simulations.
et al., 2019, Linking joint impairment and gait biomechanics in patients with juvenile idiopathic arthritis, Annual Review of Biomedical Engineering, ISSN:1523-9829
et al., 2019, An image-based kinematic model of the tibiotalar and subtalar joints and its application to gait analysis in children with Juvenile Idiopathic Arthritis, Journal of Biomechanics, Vol:85, ISSN:0021-9290, Pages:27-36
et al., 2018, Validation of a model-based inverse kinematics approach based on wearable inertial sensors, Computer Methods in Biomechanics and Biomedical Engineering, ISSN:1025-5842
et al., 2018, Altered walking and muscle patterns reduce hip contact forces in individuals with symptomatic cam femoroacetabular impingement, American Journal of Sports Medicine, Vol:46, ISSN:0363-5465, Pages:2615-2623
et al., 2018, O 104 - MRI-based musculoskeletal models for the quantification of gait in children with Juvenile Idiopathic Arthritis, Gait and Posture, Vol:65, ISSN:0966-6362, Pages:216-218