Dovile Juodelyte

Dovile is a PhD Fellow working on transfer learning in medical imaging. She holds a BSc degree in data science from the IT University of Copenhagen. Prior to her transition to data science, she attained a MSc degree in Economics from Vilnius University and worked as a financial analyst. Currently, she is working on the project ‘CATS - Choosing a Transfer Source for Medical Image Classification’. Her research interests lie at the intersection of medical imaging, representation learning, and data science, with a particular focus on understanding the inner workings of transfer learning and generalization.