Scholar
Alexander Mathis
Google Scholar ID: Y1xCzE0AAAAJ
EPFL (Ecole Polytechnique Fédérale de Lausanne / Swiss Federal Institute of Technology)
Citations & Impact
Citations
10,978
H-index
30
i10-index
37
Publications
20
Co-authors
13
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published work includes DeepLabCut, DLC2action, AmadeusGPT, hBehaveMAE, and WildCLIP; won the MyoChallenge at NeurIPS in 2022 and 2023; published a paper on Baoding ball rotation control in Neuron; published task-driven models of proprioception & sensorimotor processing in Current Opinion in Neurobiology and Cell.
Research Experience
- Developing machine learning tools for behavioral and neural data analysis, and learning from the brain to solve challenging ML problems such as motor skill learning or pose estimation in crowded scenes.
Background
- Research interests: intersection of computational neuroscience and machine learning. Goal is to understand behavior in computational terms and reverse-engineer the algorithms of the brain, to figure out how the brain works and build better AI systems.
Miscellany
- Passionate about wildlife conservation, with contributions beyond neuroscience including a perspective piece on machine learning for wildlife conservation in Nature Communications.
