machine learning

Enabling the collaborative research in Precision Health that is instrumental in the transition to preventative medicine

Carola Schönlieb

Physical  Applied Mathematics  

Prof Schönlieb specialises in the mathematics of digital image and video processing using partial differential equations and variational methods. The research from her group ranges from the modelling and analysis of such methods to the computational realisation and application.

image processing  machine learning  

Pietro Liò

Technology  Computer Science & Technology  

Prof Liò's research interest focuses on developing Artificial Intelligence and Computational Biology models to understand diseases complexity and address personalised and precision medicine. Current focus is on Graph Neural Network modeling.

machine learning  AI  computational biology  graph neural network modeling  

Cecillia Mascolo

Technology  Computer Science & Technology  

Prof Mascolo's research concentrates on aspects related to the efficient and effective use of mobile and wearable systems to understand human behaviour and mobile health. Her lab concentrates on applications related primarily to mobile health.

machine learning  mobile systems  mobile health  digital biomarker  

Mihaela van der Schaar

Physical  Applied Mathematics  

Prof van der Shaar's research develops cutting-edge machine learning & AI theory and methods, with the goal of improving healthcare and medical knowledge. Her team is one of the most impactful and diverse ones in the field, employing a wide range of ML approaches including deep learning, causal inference, AutoML, time series analysis, ensemble learning, and many more.

medical applications  game theory  distributed systems  image processing  machine learning