Two modelling approaches: Machine learning to predict diabetic polyneuropathy and a discrete-choice model for non-pharmaceutical interventions on COVID-19
Teams Meeting link: https://teams.microsoft.com/l/meetup-join/19%3a43588e2a669f4ea4aad7b3f749af6ae0%40thread.tacv2/1588854920058?context=%7b%22Tid%22%3a%22cc95de1b-97f5-4f93-b4ba-fe68b852cf91%22%2c%22Oid%22%3a%2257dc0dc4-80bb-4c08-8cdb-53348803788c%22%7d
Giorgos is a bio-informatician working as a postdoctoral researcher at NDCN, University of Oxford, in David Bennett’s Neural Injury Group. He holds a PhD (UCL) and MSc (King’s College) in Bioinformatics and an Informatics and Telecommunications degree (University of Athens, Greece). He works on data analysis of large scale experiments in molecular biology using next-generation sequencing, predictive modelling / machine learning applied to clinical cohorts and pre-clinical studies on pain and neuropathy.
Date:
19 May 2020, 13:00 (Tuesday, 4th week, Trinity 2020)
Venue:
Venue to be announced
Speaker:
Giorgos Baskozos (University of Oxford)
Organising department:
Nuffield Department of Clinical Neurosciences
Organiser:
Niki Andrew (University of Oxford)
Organiser contact email address:
events@ndcn.ox.ac.uk
Host:
Elizabeth Gray (University of Oxford)
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Jacqueline Pumphrey
