Position: PhD Student
Master Degree: Physics, Chalmers University of Technology, Gothenburg, Sweden
Bachelor Degree: Physics, University of Iceland, Reykjavík, Iceland
Latest News (all news about Saga Helgadottir)
Press release on Machine learning can help slow down future pandemics April 14, 2021
Improving epidemic testing and containment strategies using machine learning accepted in Machine Learning: Science and Technology March 22, 2021
Quantitative Digital Microscopy with Deep Learning published in Applied Physics Reviews February 19, 2021
Extracting quantitative biological information from brightfield cell images using deep learning on ArXiv December 23, 2020
Presentation by S. Helgadottir at the Gothenburg Science Festival, 2 October 2020 September 28, 2020
Diagnosis of a genetic disease improves with machine learning, a summary in Swedish published in Fysikaktuellt September 27, 2020
Soft Matter Lab presentations at the SPIE Optics+Photonics Digital Forum August 23, 2020
Digital video microscopy with deep learning August 20, 2020
DeepTrack: A comprehensive deep learning framework for digital microscopy June 24, 2020- Soft Matter Lab presentations at the Photonics Online Meet-up, 22 June 2020 June 18, 2020