The Digital Futures team are hosting talks by The University of Manchester's new Turing Fellows for 2021-22.
Presenting at this event are Alex Casson and Will Dixon.
To register for this event, please visit the Eventbrite link opposite.
Alex Casson, Reader in the Materials, Devices and Systems division of the Department of Electrical and Electronic Engineering at the University of Manchester. Alex's research focuses on non-invasive bioelectronic interfaces: the design and application of wearable sensors, and skin-conformal flexible sensors, for human body monitoring and data analysis from highly artefact prone naturalistic situations.
Alex's talk is titled 'Data science and machine learning for wearables'
This talk will overview my work using wearable devices and the role of machine learning. This will span from: novel system design embedding machine learning into the health related application of the wearable; to the hardware design of the wearable itself and implementing “edge” machine learning where data never leaves the device; to “closed loop” wearable devices (particularly for brain stimulation) which both sense and actuate with machine learning to clean the data collected, rejecting artefacts, and triggering actuation. Examples analysing the 100,000 accelerometer data records in the UK Biobank for the large scale mining of wearable data will also be explored.
Will Dixon, Professor of Digital Epidemiology, Director of the Centre for Epidemiology Versus Arthritis at the University of Manchester and an honorary consultant rheumatologist at Salford Royal NHS Foundation Trust. He is co-lead for the Toronto-Manchester Joint Translational Centre in Digital Health. His research aims to address clinically important questions by analysing data from patient populations, with particular focus on digital health data.
Will's talk is titled 'The intersection of clinical care and health data research'
This talk will describe the intersection of clinical care and health data research. It will describe examples of questions that are important to people living with disease; the sources of data that can help answer those questions including routinely collected data in the NHS such as electronic health records, and patient-generated data; and some of the analytical challenges in how best to use those data to answer those questions.
