Casper Sønderby is a co-founder and machine learning leader with 13 years of experience building production ML systems that bridge research and real-world impact. At twig.energy he leads development of an automated platform for power trading and renewable asset optimization deployed across Europe and the US to accelerate a zero-emission grid. Previously he initiated data-driven weather forecasting research at Google Brain and holds a PhD in computer science focused on deep learning, probabilistic inference and large-scale distributed learning. Casper combines startup grit with deep research pedigree—from internships at DeepMind and Twitter to founding PWR.ai—making him fluent in turning novel probabilistic and variational methods into robust, time-series forecasting products for power markets and weather.
13 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Københavns Universitet - University of Copenhagen
Master of Science (M.Sc.), Systems Biology, Master of Science (M.Sc.), Systems Biology at Technical University of Denmark
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Contributions:63 commits in 1 month
autoencodersneural-netsoctavetensorflowstacked
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