Matthew Millard
Postdoc at Heidelberg University
Stuttgart, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolMatthew Millard is a biomechanics-focused postdoctoral researcher and software engineer with 14 years of experience applying optimal control, multibody dynamics, and musculoskeletal modeling to predict and improve human movement after interventions. With a Ph.D. in Systems Design Engineering from the University of Waterloo, he has developed and fixed muscle models in OpenSim (including contributions to the widely used opensim-core Thelen2003Muscle implementation) and built 3D foot contact and human motion prediction systems at top research centers like Stanford, Heidelberg, and Duisburg-Essen. He combines strong C++ and Python skills with embedded systems and motion-capture/EMG expertise to produce models tailored for robust optimal-control workflows. Based in Stuttgart, he focuses on making biomechanical components not only accurate but numerically well suited to optimization, improving energy consistency and initialization in simulation.
14 years of coding experience
Doctor of Philosophy (Ph.D.), Systems Design Engineering, Doctor of Philosophy (Ph.D.), Systems Design Engineering at University of Waterloo
Github Skills (10)
simulations10
simulation10
biomechanics10
c-language10
cprogramming-language10
opensimulator10
data-structures4
algorithm4
algorithms4
data-structure4
Programming languages (8)
Github contributions (5)
opensim-org/opensim-core
Oct 2011 - Mar 2013
SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 reviews, 115 commits, 8 PRs in 1 year 4 months
Contributions summary:Matthew contributed to the Thelen2003Muscle model, which involves the mathematical modeling of muscle dynamics within the OpenSim framework. The contributions include modifications to the muscle curve components, such as the ActiveForceLengthCurve, and additions of new functions to facilitate the computation of fiber state. These improvements aimed to enhance the accuracy and stability of the muscle model, with a focus on energy conservation and improved initialization, as well as improved test cases.
command-linecppjavapythonscience
mjhmilla/FastMuscleCurves
Feb 2022 - Aug 2025
Contributions:48 pushes, 1 branch in 3 years 6 months
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