Dr. Amy Marie Campbell
About Me
I'm a Research Fellow in Disease Forecasting at the London School of Hygiene and Tropical Health, working on D-MOSS (a dengue forecasting model using satellite data). Previously, I completed my PhD in Ocean and Earth Sciences on the NERC INSPIRE DTP, researching the changing ecology and evolution of climate sensitive pathogens, particularly Vibrio bacteria, alongside being a Senior Health Intelligence Analyst in the UK Health Security Agency's All Hazards Intelligence Global team. Before that, I was an early career researcher based at the European Space Agency Climate Office, researching satellite climate data applications in cholera risk forecasting. I'm also the winner of the Global Undergraduate Award within Earth and Environmental Sciences category, a keen science communicator and Space4Climate COP26 Ambassador. My research interests are exploring links between climate change and health, using Earth Observation data and machine learning.
With a background in environmental science and spatial monitoring techniques (including GIS and remote sensing), my interactions with the European Centre for Environment and Human Health based at my undergraduate university led me to the timely and quickly-developing discipline of climate change and health, and how I could apply these techniques to understand these associations better. I use a range of technical skills, including bioinformatics and machine learning to try and explore how climate change has driven water-borne diseases but also how it might in the future, by producing predictive maps. I think science communication is incredibly important and love finding opportunities to share my research with a range of audiences. Outside of research, I enjoy coastal hikes and reading. As an ex Team GB athlete, I swim often and occasionally feature in films and TV for in-water and underwater shots.

Experience
Research Fellow in Disease Forecasting at London School of Hygiene and Tropical Medicine
2024-
Research fellow in the dengue team within the Centre for Mathematical Modelling of Infectious Diseases. Working on the development of D-MOSS (Dengue forecasting MOdel Satellite-based System).
Senior Health Intelligence Analyst at UK Health Security Agency
2023-2024
Offered part-time position after UKRI-funded policy placement (April-June 2023) within Global All Hazards Intelligence team, compiling timely situational reports to Chief Medical Officer and Cabinet Office, developing activities under climate change work stream assessing trends globally that might pose an issue to the UK in the future.
Postdoctoral Researcher at University of Southampton
2020-2024
PhD focusing on "Global epidemiology, ecology and evolution of marine Vibrio bacteria and diseases, associated with climate change". Fully-funded through NERC INSPIRE DTP. Collaboration with Centre for Environment, Fisheries and Aquaculture Science.
Young Graduate Trainee at European Space Agency Climate Office
2019-2020
Used ESA's Climate Change Initiative Essential Climate Variable datasets of satellite-derived Earth Observation data for a health forecasting case study. Implementing oceanic variables (ocean colour, sea surface temperature, salinity, sea level) within epidemiological risk models of Vibrio cholera and utilizing machine learning to increase the predictive capacity and capability of these risk models. Collaborated with Plymouth Marine Laboratory and contributed to NERC-funded PODCAST project and the ESA-Future Earth Policy Outreach Grant for COP26.
Previous roles:
GIS Operations and Research Analyst at Trubshaw Cumberlege (2018-19)
GIS Internship at Met Office (2018)
GIS Analyst at Clear Mapping Co (2017-18)
Full Time Elite Athlete at British Swimming (2013-14)
Qualifications
PhD in Ocean and Earth Sciences, University of Southampton
2020-2024
PhD focusing on "Global epidemiology, ecology and evolution of marine Vibrio bacteria and diseases, associated with climate change". Fully-funded through NERC INSPIRE DTP. Collaboration with Centre for Environment, Fisheries and Aquaculture Science.
MSc in Earth Observation and Geoinformation Management, University of Edinburgh
2018-2019
Distinction achieved. Relevant modules in Passive and Active Earth Observation, Spatial Modelling and Analysis, Coding Infrastructures and Environmental Modelling. Thesis developed an object-orientated automated algorithm to detect buildings in rural Kenya from high resolution satellite imagery for humanitarian purposes.
Prizes for Best Dissertation and Best Contribution to Programme.
BSc in Geography, University of Exeter
2015-2018
First Class with Honours achieved. Relevant modules in Climate Change and Health, Earth System Science, Natural Hazards and Risk, GIS and Remote Sensing. Dissertation: Mapping the present and future risk of Lyme Disease in Vermont, USA using habitat and climactic suitability of Ixodes scapularis. Dean’s Commendation for Exceptional Performance and CGES Award for Highest BSc Dissertation. Dissertation awarded the Global Undergraduate Award for Earth and Environmental Sciences.
Awards
Global Undergraduate Award for Earth and Environmental Sciences