Andres Floto

Andres Floto

Andres Floto is Professor of Respiratory Biology in the Molecular Immunity Unit of the University of Cambridge (based at the MRC-Laboratory of Molecular Biology), Co-Director of the Cambridge Centre for AI in Medicine (CCAIM), and Director of the UK Cystic Fibrosis Innovation Hub.

 His basic research is focused on understanding how mycobacteria interact with the innate immune system and evolve through transmission, how forward and reverse genetics can be combined with fragment-based drug discovery to develop novel antibiotics and host-directed therapies, and how machine learning methods, including geometric deep learning, can be used to gain systems-level understanding of mycobacterial pathobiology.

 His clinical research is centred around treating Nontuberculous Mycobacteria (NTM), tackling chronic inflammation in CF and non-CF bronchiectasis, using graph-based machine learning to understand and predict pulmonary exacerbations, and applying deep learning methods to provide individualised clinical forecasting for patients with CF.
Clinically he specialises in the management of Nontuberculous mycobacteria, Cystic Fibrosis, non-CF bronchiectasis, and recurrent chest infections.