Applied Mathematics

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



Carola Schönlieb

cbs31@cam.ac.uk

Applied Mathematics  Physical  

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  

Colm-cille Caulfield

c.p.caulfield@damtp.cam.ac.uk

Physical  Applied Mathematics  

Prof Caulfield is interested in various fluid flows in the environment, particularly in cases where density differences play a dynamical role. Understanding the fundamental properties of the associated fluid dynamics is key to ensuring sustainable human activity.

fluid dynamics  stratified flows  turbulent mixing  building ventilation  

Mihaela van der Schaar

mv472@cam.ac.uk

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.

distributed systems  image processing  machine learning  medical applications  game theory