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Department of Information Technology

Daniel Gedon

PhD student at Department of Information Technology, Division of Systems and Control

+4618-471 5416
Visiting address:
Room POL 103166 hus 10, Lägerhyddsvägen 1
Postal address:
Box 337
751 05 UPPSALA

Short presentation

I am a Ph.D. candidate in deep learning supervised by Thomas Schön. My research can be split in two areas. The applied side revolves around medical problems, where we look at ECG recordings and try to improve the classification of medical conditions with deep models. The theoretical side focuses on understanding how specific deep models works. Specifically, I am interested in unsupervised and self-supervised learning methods.

For more information, check out my personal website

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Daniel Gedon