Ignacio Perez-Pozuelo is a PhD student in Medical Sciences at the University of Cambridge, supervised by Prof. Nick Wareham. Beyond his research, he has worked as a strategy consultant and in corporate strategy business development. Ignacio also started a non-profit educational counselling organization and has been involved in several entrepreneurial endeavours during his undergraduate and graduate studies.
Ignacio obtained a Master’s degree in Bioengineering from the University of California at Berkeley and University of California, San Francisco, where he was an Anselmo J. Macchi Fellow, as well as a Master’s in Neuroscience from the University of Oxford. These projects focused on engineering and machine learning applications in neuroscience. Following his Master’s degree at Oxford, he was awarded a Marie-Curie Early Career Fellowship to perform research in cognitive neuroscience at the University of Cambridge. Ignacio also holds an undergraduate degree from Brown University in Bioengineering.
Ignacio’s doctoral research focuses on human-activity recognition using multimodal wearable sensors. He uses these behavioural phenotypes to further understand the impact of physical activity and sleep on health. Ignacio has worked on deriving sleep inferences from multi-modal data using deep learning approaches. He is currently working on time-series forecasting of digital biomarkers using physical activity as well as on activity classification using semi-supervised learning approaches for large, unlabelled datasets like UK Biobank.
Beyond the main scope of his PhD he is interested in open-source projects for reproducible science as well as ethics for decision-making support systems in healthcare.