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About Dr Marta Vallejo
Dr Marta Vallejo is a tenure-track research fellow in biomedical signal and image processing at the Institute for Sensor, Signals, and Systems at Heriot-Watt University. Her research activities focus on the application of machine learning techniques, including deep learning and evolutionary algorithms, to stroke rehabilitation, neurodegenerative diseases, and lung cancer. She is particularly interested in the processing of biomedical signals and images and the creation of biomedical classifiers.
Notably, she was the lead researcher for “A Multiobjective Evolutionary Approach to Understanding Parkinson’s Disease” (EP/M013677/1), a project that saw the development of new predictive models for Parkinson’s disease management. Previously, with more than ten years of industrial experience, five of them in research, Dr Vallejo has also worked as a project manager on a number of EU research projects in Spain. Dr Vallejo was also head of artificial intelligence and machine learning at ClearSky Medical Diagnostics, working on diagnosing and prognosis of Parkinson’s disease. Currently, she is CoPI in a project funded by the CHDI Foundation addressing the identification of disease-relevant patient subtypes in Huntington’s disease. She is also the PI of an EPSRC IAA Secondments award oriented to create the next generation of clinical assessment for Huntington’s Disease by transforming conventional clinical assessments such as the Montreal Cognitive Assessment (MoCA), which are subjective, to some extent unreliable and not sensitive enough to be used as a universal screening tool. Finally, she is a fellow of the Higher Education Academy.