Cours

CS-502: Deep learning in biomedicine

Résumé

Deep learning offers potential to transform biomedical research. In this course, we will cover recent deep learning methods and learn how to apply these methods to problems in biomedical domain.

Séances de cours

Enseignant·e

Maria Brbic

Maria Brbic is an assistant professor in computer science at EPFL. Prior to joining EPFL, Maria was a postdoctoral researcher in Computer Science at Stanford University working with Jure Leskovec. She received her PhD degree from University of Zagreb in 2019, while also researching at Stanford University and University of Tokyo. Her research was awarded with the Fulbright Scholarship, L’Oreal UNESCO for Women in Science Scholarship, Branimir Jernej award for outstanding publication in biology and biomedicine, and Josip Loncar Silver Plaque award for the best doctoral dissertation. She has been named a Rising Star in EECS by MIT in 2021. Her research is focused on developing new machine learning methods and applying her methods to advance biomedical research.

Source officielle

https://edu.epfl.ch/coursebook/fr/deep-learning-in-biomedicine-CS-502

Page Moodle

http://go.epfl.ch/CS-502

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Résumé

Deep learning offers potential to transform biomedical research. In this course, we will cover recent deep learning methods and learn how to apply these methods to problems in biomedical domain.

Séances de cours

Enseignant·e

Maria Brbic

Source officielle

https://edu.epfl.ch/coursebook/fr/deep-learning-in-biomedicine-CS-502

Page Moodle

http://go.epfl.ch/CS-502

À propos de ce résultat

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