My work at CHSS has focused on applying computational solutions to public health problems. I started out working on air pollution, completing air quality assessments, and helping local communities measure air pollution, which lead to publications in the field of public policy. I have worked on the issue of lead emissions from general aviation and the impact that this has on the UK residential population, this led to a publication and significant media interest. I assist others in the department with data and statistical analyses.
I am currently seconded to the Department of Health and Social Care working on a project looking at the impact of pre-prosecution diversion for repeat-offenders on recidivism, hospitalisation and adoption of drug treatment outcomes.
I am also involved in the start phase of a project aiming to measure child lead blood levels. I have ongoing involvement in community-outreach projects concerning air pollution.
I have a BSc Computer Science and MSc Natural computation from The University of Birmingham and EngD (Doctor of Engineering) from The University of Bath.
I have a strong foundation in computer science and machine learning / artificial intelligence. I have applied these skills first in the field of computational neuroscience looking at networks of spiking neurons. Following this, I worked at Vodafone R&D on interference mitigation and other issues in cellular networks.
After initially joining University of Kent in December 2015 I joined CHSS in January 2016 where I have applied my skills to issues of public health.
Air pollution
Environment
Environmental toxins
Public Health
I am deeply committed to addressing environmental and societal issues, with a particular focus on public health. My expertise lies in solving complex problems, backed by over 20 years of experience in programming, data analysis, and electronic engineering. I have worked on air pollution, lead poisoning, and pesticide exposure in this context.