Analysing distributed personal health data in a privacy-preserving manner

Analysing distributed personal health data in a privacy-preserving manner

In her talk, Chang Sun will present a secure infrastructure for analysing personal data from multiple sources in a privacy-preserving manner.

As a use case, the infrastructure has been applied at Statistics Netherlands and De Maastricht Studie (Population Study on Diabetes) to learn the association between diabetes status and individuals’ annual healthcare costs. She will also present a personal data vault platform where people can take full control of their own data in order to strengthen and extend the (re-)use of personal data while maximally protecting individuals’ privacy. 

Speaker

Chang Sun is a PhD student working at the Institute of Data Science at Maastricht University. She achieved her master degree in Artificial Intelligence in 2017 and then started her PhD research in the data science domain. Her long-term research goal is to find ways to balance the emerging importance of responsible data practices with the social and scientific value of research.

Chang is an awardee of YUERUN (Young European Research Universities Network) Research Mobility Grant to do a short research visit at Essex University hosted by Fanlin Meng.

How to attend

If not a member of the Dept. Mathematical Science at the University of Essex, you can register your interest in attending the seminar and request the Zoom’s meeting password by emailing Dr Osama Mahmoud (o.mahmoud@essex.ac.uk)