My research interests are at the intersection of machine learning and healthcare (neurodegenerative diseases). My work focuses on the creation of advanced classification algorithms for diagnosis, prognosis and understanding of Parkinson's Disease using different machine learning methods like deep learning and evolutionary algorithms.

Dr Marta Vallejo is a tenure track research fellow in biomedical signal and image processing. Previous to this appointment, she was head of AI and machine learning at ClearSky Medical Diagnostics Ltd. (www.clearskymd.com). She holds a PhD in computational intelligence and predictive modelling and an MSc in artificial intelligence. She has worked on several research projects in the areas of deep learning, evolutionary algorithms and predictive modelling. Notably, she was the lead researcher for "A Multiobjective Evolutionary Approach to Understanding Parkinson's Disease", a project that saw the development of new predictive models for Parkinson’s disease management. Currently, she works in the Proteus project, which is focused on the treatment of critically ill respiratory patients using advanced microendoscopic imaging and sensing technologies. Dr Vallejo has also worked as a project manager on a number of EU research projects. She is also a fellow of the Higher Education Academy

Machine Learning, Deep Learning, Evolutionary Algorithms, Simulation and Modelling, Neurodegenerative Diseases, Parkinson's Disease, Dementia