The inaugural course will include:
- Daily lectures providing broad context and conceptual insights into key issues
- Interactive computer sessions for consolidating conceptual knowledge with practical skills
- Opportunities for one-to-one interactions with leading Oxford academics
- A relaxed small-group atmosphere in beautiful Oxford
- Dining and en suite accommodation at St Hilda's College
- Exclusive use of the college bar overlooking Christ Church Meadow
- Refreshments served during teaching breaks
- Closing Gala dinner in a historic Oxford dining hall
The venue
Founded in 1893, St Hilda's College is located at the eastern end of the High Street Oxford, over Magdalen Bridge, and lies picturesquely on the east of the River Cherwell with views over Christ Church Meadow and Magdalen College Tower. It is named after the Anglo-Saxon Saint, Hilda of Whitby, and was the last of the women’s colleges established in Oxford, and the last to remain an all-women’s college, until 2008. St Hilda’s College reached its 125th anniversary in 2018, coinciding with its 10th year anniversary as a ‘mixed’ college that accepts both male and female students, following a supplemental charter granted in 2007. It now has almost equal numbers of men and women.
St Hilda's College gardens and grounds enjoy a unique setting stretched along the banks of the River Cherwell, looking west towards the Oxford Botanic Gardens and the historic city of Oxford. The college has its own fleet of punts, which students may use.
The college is also home to the Jacqueline Du Pré Music Building, a concert venue named after the famous cellist who was a honorary fellow of the college.
Timetable
Sunday 12 March
Arrival at St Hilda's College, with registration in the afternoon, followed by an opening reception and dinner in the evening in the friendly and relaxed dining hall.
Monday 13 March
Real world validation, including an overview of reproducible machine learning in health data science, how to setup devices, ethical issues around data collection, and how to use virtual machines.
Tuesday 14 March
Time-series machine learning, covering wearable cameras, accelerometer data cleaning, and version control systems.
Wednesday 15 March
Reproducibility, specifically the use of open datasets for human activity recognition, open models for self-supervised learning, and the tools to use these e.g. PyTorch.
Thursday 16 March
Reporting machine learning models in health data science, including examples of how to do this to robustly develop and share machine learning models to measure sleep and steps from accelerometer datasets.
Friday 17 March
Epidemiological considerations, featuring bias, parallel computing of wearable phenotypes, and association with clinical outcomes.
To mark the end of the course we will have a closing drinks reception and a Gala Farewell Dinner on the Thursday evening.
Course Director and Tutors
Professor Aiden Doherty, Course Director
University of Oxford, Big Data Institute - Biography
The course will feature presentations by:
Professor Marcus Munafo,
University of Bristol - Biography
Professor Gary Collins
University of Oxford - Biography
Dr Catalina Vallejos
University of Edinburgh - Biography
Dr Maxine Mackintosh
Genomics England - Biography
Professor Derrick Bennett
University of Oxford - Biography
Dr Laura Brocklebank
UCL - Biography
Dr Scott Small
University of Oxford - Biography
Dr Shing Chan
University of Oxford - Biography
Dr Federica Lucivero
University of Oxford - Biography
Hang Yuan
University of Oxford - Biography
