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

• 14:00 - Phenome@BDI Seminar: Physical activity & time-series analysis
  Dr Aiden Doherty (University of Oxford), Matthew Willetts
  BDI seminars

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

• 13:00 - Can wearable sensors and machine learning enhance our understanding of lifestyle health behaviours?
  Dr Aiden Doherty (University of Oxford)
  Unit for Biocultural Variation and Obesity Hilary 2022
• 13:00 - Unit for Biocultural Variation and Obesity (UVBO) Seminar - Can wearable sensors and machine learning enhance our understanding of lifestyle health behaviours?
  Dr Aiden Doherty (University of Oxford)
  Population Health Seminars

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

• 13:00 - Personalised Medicine in Practice: Genes, Behaviour, and Metabolic Health
  Please note, there are separate registration links for sessions 1 & 2 (Zoom meeting), and the keynote session (Zoom webinar).
  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)
  Centre for Personalised Medicine Seminars

Tuesday 7 March 2023 (8th Week, Hilary Term)

• 11:00 - Deep learning at the forefront of cardiac MR imaging
  Dr Qiang Zhang

Wednesday 19 April 2023 (0th Week, Trinity Term)

• 10:30 - Time-series machine learning of wearable sleep datasets
  Hang Yuan

Tuesday 16 May 2023 (4th Week, Trinity Term)

• 11:00 - Phenotyping Parkinson's Disease
  Michele Hu (University of Oxford)

Tuesday 13 June 2023 (8th Week, Trinity Term)

• 11:00 - Alcohol phenotypes and how they are related to fMRI derived brain health measurements
  Dr Anya Topiwala (University of Oxford)

Wednesday 22 November 2023 (7th Week, Michaelmas Term)

• 14:00 - AI/ML & Biomedical Imaging in Disease
  Dr Bartek Papiez (University of Oxford)
  Digital Phenotying

Wednesday 29 November 2023 (8th Week, Michaelmas Term)

• 13:00 - “Machine learning for computational phenotyping and genetic discovery”
  Dr Craig Glastonbury (Human Technopole, Italy)
  Digital Phenotying

Wednesday 8 May 2024 (3rd Week, Trinity Term)

• 14:00 - Prognostic significance & genetic basis of premature ventricular contractions during exercise
  Dr Stefan van Duijvenboden (University of Oxford)
  Digital Phenotying

Wednesday 12 June 2024 (8th Week, Trinity Term)

• 14:00 - Recent advances in the application of compositional data analysis: Bayesian modelling for longitudinal compositional data and evolutionary algorithms for optimal time-use compositions
  Dr Dot Dumuid (University of South Australia), Flore Le (Monash University)
  Digital Phenotying

Wednesday 23 October 2024 (2nd Week, Michaelmas Term)

• 14:00 - From big data to niche data: the challenge of minimizing sample size in clinical trials
  Professor Derek Hill (UCL)
  Digital Phenotying

Tuesday 7 March 2023 (8th Week, Hilary Term)

• 11:00 - Deep learning at the forefront of cardiac MR imaging
  Dr Qiang Zhang

Wednesday 19 April 2023 (0th Week, Trinity Term)

• 10:30 - Time-series machine learning of wearable sleep datasets
  Hang Yuan

Tuesday 16 May 2023 (4th Week, Trinity Term)

• 11:00 - Phenotyping Parkinson's Disease
  Michele Hu (University of Oxford)

Tuesday 13 June 2023 (8th Week, Trinity Term)

• 11:00 - Alcohol phenotypes and how they are related to fMRI derived brain health measurements
  Dr Anya Topiwala (University of Oxford)

Wednesday 8 May 2024 (3rd Week, Trinity Term)

• 14:00 - Prognostic significance & genetic basis of premature ventricular contractions during exercise
  Dr Stefan van Duijvenboden (University of Oxford)
  Digital Phenotying