Life-course and ageing

Lindsay is a Canadian Banting Postdoctoral Fellow at the University of Cambridge in Public Health. She is from Halifax, Nova Scotia in Canada and has earned an MSc from McGill University (Neuroscience), and a PhD from Dalhousie University (Interdisciplinary Health Studies). She blends insights from epidemiology, public health, and neuroscience to better understand how dementia arises and how public health approaches may be able to address prevention.

I am a ARUK funded PhD student supervised by Prof Brayne exploring gender differences in dementia in the Cognitive Function in Ageing Study (CFAS). I am also a Specialty Registrar in Public Health in the East of England (out of programme).

Peter Charlton is a British Heart Foundation Research Fellow in the Department of Public Health and Primary Care, at the University of Cambridge. He develops biomedical signal processing techniques to analyse data from digital wearable devices for clinical decision making.

Mobile phones and personal wearable devices will play a major role in deploying public health screening and monitoring applications at scale, due to their pervasive penetration in the population and capability to sense the intricate details of daily lives. My research interest is to build machine learning algorithms and systems that are suitable for these applications and can run on the resource constrained end-devices. Alongside, I also care about the privacy of the users and want to protect individual’s data while enabling aggregate inferences.

Angelique is a Clinical Research Fellow at Cambridge Public Health, where she is working on linking health policy to sustainability agendas and exploring joint solutions. She is also a Consultant in Public Health Medicine at the UK Health Security Agency (UKHSA) and the Greater London Authority (GLA). She is currently leading the development of the London Climate and Health Programme with partners across the London Health and Care System.

Zoe Kourtzi is Professor of Experimental Psychology and Computational Cognitive Neuroscience at the Department of Psychology, University of Cambridge. Her experimental work aims to understand the role of lifelong learning and brain plasticity in enabling humans of all ages to translate sensory experience into adaptive behaviours. Her computational work aims to develop predictive models of mental health and disease based on large-scale population data.

I am an NIHR doctoral fellow (2022-25), researching population-level approaches to dementia risk reduction. During my PhD I will be using mixed methods, including quantitative analysis, qualitative interviewing, policy analysis, and systematic reviewing. My background is as an applied public health academic, and I have been training as a public health specialty registrar in the East of England region since 2018. I qualified from Keele Medical School in 2015, and passed an MPhil in Public Health at the University of Cambridge in 2018-19 with distinction.