We are delighted to be joined by Dr Michael Camilleri for this SINAPSE webinar.  His talk will discuss the opportunities and challenges associated with working on health data within a secure environment. See further details below:

“Ramblings from beyond the divide – Working on Health data within a Safe Haven”

Abstract: Machine learning and AI has ushered in unprecedented capabilities to learn from, and infer patterns about, large swathes of health data. However, dealing with such sensitive information has its repercussions: appropriating a phrase from Uncle Ben (SpiderMan) “With ‘big’ health data comes ‘great’ responsibility.” In this talk, Michael will share his experience in working on individual-level health records within the National Safe Haven framework. Both the opportunities and challenges associated with this type of research will be discussed, as well as tips on how to overcome them.

Dr Michael Camilleri is a Postdoctoral Researcher on the NEURii SCANDAN project at the University of Dundee, working on ML methods to predict the risk of Dementia from clinical brain scans (MRI/CT). He also holds an Honorary Fellowship at the Centre for Clinical Brain Sciences and a visiting status at the School of Informatics (both at the University of Edinburgh). Prior to this, he obtained his PhD in Data Science from the School of Informatics at the University of Edinburgh, a Master’s in Robotics (Edinburgh) and a Bachelor’s in Computer Engineering (University of Malta). Throughout his career, he has focused on applied computer science, and has been involved in many interdisciplinary research projects involving fundamental physics (CERN), robotics, transport planning, astronomy (SKA) animal behaviour modelling and medical imaging amongst others.

If you would like to attend please contact Katerina Pappa, katerina.pappa@glasgow.ac.uk