Devon Hjelm
Research Scientist At Apple MLR
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolDevon Hjelm is a deep learning research scientist with 12 years of experience specializing in unsupervised and representation learning, currently building ML research at Apple MLR after a multi-year research stint at Microsoft. He holds a PhD in Computer Science from the University of New Mexico and did a postdoc at MILA under Yoshua Bengio focused on unsupervised, adversarial, and representation learning. His work spans scientific representation learning with applications to RL and NLP, bridging theoretical probabilistic models from his neuroimaging background with practical self-supervised techniques. At Microsoft he progressed from researcher to principal researcher, and has held academic roles including adjunct professor at Université de Montréal. Known for translating ideas from brain-inspired graphical models into scalable ML methods, he combines rigorous research with hands-on engineering across industry and academia. Based in Redmond, he brings a rare blend of neuroimaging insight and production-focused deep learning research.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of New MexicoThe University of New Mexico
Github Skills (101)
maximization10
robotics9
nvidia-docker9
image-processing9
deep-learning9
representations9
image9
pytorch9
manifest9
building-blocks9
machine-learning9
paddle9
windows-service9
data-augmentation9
mutual-information9
Programming languages (6)
Github contributions (5)
rdevon/BGAN
Feb 2017 - Jun 2017
Contributions:90 commits, 16 pushes, 1 branch in 4 months
rdevon/DBN
Dec 2013 - Feb 2014
Contributions:2 commits in 1 month
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