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Hang is a final-year DPhil student supervised by Aiden Doherty and Simon Kyle. He joined the NDPH as part of the inaugural class of the CDT for Health Data Science in 2019. Hang’s work has been focused on developing machine-learning methods for wearable sensing data. In particular, with coworkers from the Wearables group, Hang led the development of the first foundation model for wearable sensing data. Hang has also had a keen interest in refining the measurement of sleep phenotypes from wearable devices for large-scale epidemiological studies. Hang has worked extensively with coworkers in the UK, USA, Australia and China. His foundation model work won the best poster award in the first CDT symposium. 

Refreshments will be available for those attending in the Atrium from 10:00am in readiness for the seminar to start at 10:30.

Forthcoming events

Infectious Disease Seminar Series: Epidemiology of the NHS COVID-19 app: design, evaluation and future considerations

Monday, 12 June 2023, 1pm to 2pm @ BDI/OxPop Building Seminar Room LG 0-1, Old Road Campus, Headington, OX3 7LF

Alcohol phenotypes and how they are related to fMRI derived brain health measurements

Tuesday, 13 June 2023, 11am to 12pm @ Big Data Institute LG 0 Seminar room

Update on folic acid and disease prevention

Tuesday, 13 June 2023, 1pm to 2pm @ Richard Doll Lecture Theatre, Richard Doll Building, Old Road Campus, Headington, OX3 7LF

Infectious Disease Seminar Series: 40 years of combating meningococcal disease: are we nearly there yet?

Monday, 19 June 2023, 1pm to 2pm @ BDI Seminar Room LG 0-1, Old Road Campus, Headington, OX3 7LF

Environmental sensing and it’s association with chronic disease

Tuesday, 11 July 2023, 11am to 12pm @ Big Data Institute LG 0 Seminar room