Alexander Mathis

Associate Professor

Geneva, Geneva, Switzerland
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Summary

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Alexander Mathis is an Assistant Professor at EPFL with nine years of experience at the intersection of computational neuroscience, machine learning, and computer vision. Trained through a long postdoc at Harvard, he studies sensory-guided behavior—particularly olfactory processing and odor-guided navigation—combining quantitative behavioral measurement, adaptive motor control, and principled ML methods. His work blends rigorous experimental neuroscience with algorithmic modeling, enabling mechanistic insights that inform both biology and computer vision. Based in Lausanne, he maintains active collaborations across leading labs and brings a rare mix of hands-on lab science and computational expertise to problems of perception and navigation.
code9 years of coding experience
job6 years of employment as a software developer
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Stackoverflow

Stats
11reputation
244reached
1answer
0questions
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Github Skills (81)

toolbox10
deep-learning10
stream10
sdk10
clustering-algorithm10
tracking-algorithm10
pose-estimation10
live-video9
camera9
nwb9
python9
action-recognition9
mobilenet9
jax8
feed8

Programming languages (9)

C#TypeScriptC++ShellTeXHTMLJupyter NotebookRuby

Github contributions (5)

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AlexEMG/Tutorials

Dec 2018 - Feb 2020

Contributions:13 commits, 12 pushes, 1 branch in 1 year 2 months
A Primer on Motion Capture with Deep Learning:Principles, Pitfalls and Perspectives
Contributions:5 commits, 4 pushes in 11 months
deep-learningmotion-capturedeeplabcutpose-estimation
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