Name: Dr Aiden Doherty
University of Oxford

Events this person is speaking at:

Monday 1 October 2018 (0th Week, Michaelmas Term)

Phenome@BDI Seminar: Physical activity & time-series analysis
Date: 1 October 2018, 14:00 - 15:00 (Monday, 0th week, Michaelmas 2018)
Speaker s: Dr Aiden Doherty (University of Oxford), Matthew Willetts
Venue: Big Data Institute (NDM), Old Road Campus OX3 7LF
Venue Details: Seminar room 0
Organiser: Carol Mulligan-John (University of Oxford)
Hosts: TBA

Thursday 17 October 2019 (1st Week, Michaelmas Term)

Unit for Biocultural Variation and Obesity (UVBO) Seminar - Can wearable sensors and machine learning enhance our understanding of lifestyle health behaviours?
Date: 17 October 2019, 13:00 - 14:00 (Thursday, 1st week, Michaelmas 2019)
Speaker : Dr Aiden Doherty (University of Oxford)
Venue: Richard Doll Building, Old Road Campus OX3 7LF
Venue Details: 1st Floor meeting room
Organiser: Graham Bagley (University of Oxford, Nuffield Department of Population Health)
Hosts: TBA

Can wearable sensors and machine learning enhance our understanding of lifestyle health behaviours?
Date: 17 October 2019, 13:00 - 14:00 (Thursday, 1st week, Michaelmas 2019)
Speaker : Dr Aiden Doherty (University of Oxford)
Venue: Richard Doll Building, Old Road Campus OX3 7LF
Venue Details: 1st Floor Meeting Room
Organisers: TBA
Hosts: TBA

Tuesday 11 May 2021 (3rd Week, Trinity Term)

Personalised Medicine in Practice: Genes, Behaviour, and Metabolic Health
Date: 11 May 2021, 13:00 - 18:00 (Tuesday, 3rd week, Trinity 2021)
Speaker s: Professor Tim Spector (King's College, London), Dr Aiden Doherty (University of Oxford), Alison Fildes (University of Leeds), Dr Paul Franks (Lund University), Dr Rachel Freathy (University of Exeter), Prof Cecilia Lindgren (University of Oxford), Professor Dame Theresa Marteau (University of Cambridge), Dr Richard Oram (University of Exeter)
Organisers: Thea Perry (Centre for Personalised Medicine), Catherine Lidbetter (Centre for Personalised Medicine)
Host: Thea Perry (Centre for Personalised Medicine)