Alessandro Santuz
Postdoctoral Researcher at Max Delbrück Center
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolAlessandro Santuz is a postdoctoral researcher based in Berlin with a decade of experience probing neural control of locomotion and proprioceptive feedback across mice and humans. He combines hands-on experiments—custom treadmills and genetic perturbations—with linear and nonlinear analytic tools to reveal how the central nervous system organizes muscles for robust gait. His background bridges aerospace engineering and sport science (MSc Padova, PhD Humboldt), giving him a rare mix of vehicle dynamics thinking and neurophysiology insight. Alessandro has held postdoc positions at MDC Berlin, ETH Zürich and Dalhousie, and his work often translates complex biomechanical data into mechanistic principles. Notably, he moved from high-performance motorsport engineering to neuroscience, applying data-driven control and systems-level approaches developed in racing to studying locomotor stability. Colleagues describe him as an experimentalist who equally values elegant analysis and reproducible, perturbation-driven discovery.
10 years of coding experience
10 years of employment as a software developer
High school diploma, Scientific high school diploma, High school diploma, Scientific high school diploma at Liceo Scientifico G. Marconi ConeglianoMaster's Degree, Aerospace Engineering, 96/110, Master's Degree, Aerospace Engineering, 96/110 at Università degli Studi di PadovaMotorsport Race Engineering, Motorsport Race Engineering at Optimum G SeminarDoctor of Philosophy (PhD), Sport Science, Doctor of Philosophy (PhD), Sport Science at Humboldt University of BerlinElementary School, Elementary School at Scuola Elementare Giovanni Pascoli Conegliano
Italian, English, German
Github Skills (37)
pytorch10
nmf10
toolbox10
r-package10
pose10
r10
rstudio10
deep-learning10
pose-estimation10
bioengineering9
motion-tracking9
motion-capture9
stan8
multilevel8
medicine8
Programming languages (3)
Github contributions (5)
alesantuz/musclesyneRgies
May 2020 - Nov 2022
R package to extract muscle synergies from electromyogram
Contributions:42 releases, 286 commits, 119 PRs in 2 years 6 months
r-packagemusclemuscle-synergiesrstudioemg
alesantuz/DeepLabCut
Jun 2020 - Oct 2022
Markerless pose estimation of user-defined features with deep learning for all animals
Contributions:4 pushes, 3 branches in 2 years 5 months
definedmarkerlessdeep-learningcomputer-visionpose-estimation
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