Alexander Nedergaard
PhD Candidate
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolAlexander Nedergaard is a doctoral student at ETH Zürich with nine years of cross-disciplinary experience at the intersection of artificial intelligence, theoretical neuroscience, and machine learning. He develops provable models of neural computation and self-learning algorithms, combining rigorous theoretical work with hands-on research stints in information geometry and applied neurotechnology. His background spans academic research, teaching MSc students, and founding a startup that translated neuroscience insights into haptic biofeedback products, showing an uncommon blend of theory and product-oriented experimentation. Supervised by Matthew Cook, Alexander brings deep training from ETH and Glasgow and a track record of tackling problems from mutual information estimation in MEG to deep reinforcement learning in continuous spaces.
9 years of coding experience
2 years of employment as a software developer
International Baccalaureate, Higher Level Mathematics, Physics and Chemistry, International Baccalaureate, Higher Level Mathematics, Physics and Chemistry at International BaccalaureateDoctor of Science, Artificial Intelligence and Theoretical Neuroscience, Doctor of Science, Artificial Intelligence and Theoretical Neuroscience at ETH ZürichBachelor of Science, Neuroinformatics, Bachelor of Science, Neuroinformatics at University of Glasgow
English, Danish, Norwegian, Swedish, German
Github Skills (14)
mujoco8
signal8
reinforcement-learning-environments7
reinforcement-learning7
simulation7
extensible7
deep-learning6
machine-learning6
artificial-intelligence6
tensorflow6
signal-processing6
cpp5
algorithm3
kmeans3
Programming languages (1)
Github contributions (5)
coree/ChiNet
May 2018 - Jun 2018
Contributions:56 commits, 50 pushes, 3 comments in 18 days
axnedergaard/neuropipes
Nov 2016 - Mar 2019
Contributions:99 commits, 4 PRs, 90 pushes in 2 years 4 months
signalcppsignal-processingeegextensible
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