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.

machine learning  image processing  

Pietro Liò

Computer Science & Technology  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.

graph neural network modeling  computational biology  AI  machine learning  

Cecillia Mascolo

Computer Science & Technology  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.

digital biomarker  mobile health  mobile systems  machine learning  

Mihaela van der Schaar

Applied Mathematics  Physical  

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.

distributed systems  game theory  medical applications  machine learning  image processing