
LIN YIN
Research assistant
PHD Student in Bioengineering
- Campus:Building 21
- Floor:3°
- Office:004
Within the context of the Calhubria project, his primary objective is the development of predictive models based on artificial intelligence to optimize therapies for rare neurological diseases, with particular attention to the transparency and explainability of such models.
His research interests range from signal processing, machine learning, and the devepment of decision support systems to optimize the care of patients. Simultaneously, he explores privacy protection in decentralized learning.