Luca Modenese
Scientia Senior Lecturer In Biomechanics at UNSW
Sydney, New South Wales, Australia
Summary
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Senior🎓
Top SchoolLuca Modenese is a Scientia Senior Lecturer in Biomechanics with 12 years of experience applying computational methods to measure, model and simulate human movement. He leads a Neuromechanics lab at UNSW and has driven personalized musculoskeletal modelling from clinical CT/MRI scans to predict surgical outcomes and create automatic digital twins. With over 50 peer-reviewed papers and multiple open-source models and datasets, he blends deep domain expertise in biomechanics, OpenSim and motion capture with practical skills in MATLAB, Python and deep learning. His career spans academic leadership roles at Imperial College and collaborations with clinical teams, reflecting a rare combination of computational rigor and translational impact in healthcare.
12 years of coding experience
6 years of employment as a software developer
MSc, Mechanical Engineering, MSc, Mechanical Engineering at Università degli Studi di PadovaDoctor of Philosophy (Ph.D.), Biomechanics, Human motion, Musculoskeletal Modelling, Doctor of Philosophy (Ph.D.), Biomechanics, Human motion, Musculoskeletal Modelling at Imperial College LondonNanodegree, Deep Learning, Nanodegree, Deep Learning at Udacity
Italian, English, Spanish
Github Skills (81)
motion-tracking10
scientific-publications10
biomechanics10
computational-neuroscience10
kinematics10
python10
computational-science10
connectivity10
datasets10
computational-biology10
cpp10
medical10
javascript10
electrophysiology10
matlab10
Programming languages (8)
Github contributions (5)
modenaxe/msk-bone-deformation
Jan 2021 - Nov 2021
Contributions:2 releases, 88 commits, 33 pushes in 10 months
modenaxe/msk-STAPLE
Jul 2019 - Dec 2021
STAPLE (Shared Tools for Automatic Personalised Lower Extremity modelling) consists of a collection of methods for generating skeletal models from three-dimensional bone geometries, usually segmented from medical images. The methods are currently being expanded to create complete musculoskeletal models.
Contributions:2 releases, 1070 commits, 1 PR in 2 years 5 months
segmentedconsistscomputer-sciencemedicalopenscience
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