Harry is a DPhil student in Social Data Science. His research considers how machine learning and artificial intelligence can support healthcare systems. He is particularly interested in using different types of medical data to develop multimodal models. Prior to the DPhil, Harry completed the MSc in Social Data Science at the OII, where his thesis explored how unsupervised learning can be used to group intensive care patients into similar subgroups for different levels of treatment. He also holds a BA in Economics from the University of Cambridge (Selwyn College).
Harry is funded by the Economic and Social Research Council (ESRC) through the Grand Union Doctoral Training Partnership.
Healthcare Artificial Intelligence, Machine Learning, Political Data Science.
