Reece Dillon
Cranfield University
Reece Dillon
Cranfield University
Reece Dillon is a PhD student at Cranfield University, working on real-time bioaerosol detection and characterisation with a focus on indoor bioaerosols. He holds an undergraduate degree (Hons) in biological science from the University of Bedfordshire where he developed a passion for scientific research and decided to pursue a MSc by research in molecular biology, which involved testing the influence of front-end sampling variation on back-end diagnostic results in pathogenic detection, using PCR and LAMP technologies.
What are you working on within the Hub?
My PhD aims to better understand the bioaerosol characteristics in residential environments in the UK by utilising continuous and real-time measurements with an advanced UVLIF-based bioaerosol sensor (Spectral Intensity Bioaerosol Sensor). Specifically focusing on advancing knowledge on bioaerosol fluorescence characteristics, developing new data analytic systems for bioaerosol analysis and elucidating the size segregated temporal profiles of bioaerosols. This will be achieved by both lab-based and real-world experiments to generate new data which will allow the development and validation of spectral profiles for bioaerosols with a focus on indoor bacteria and mould. Thereafter, allowing the development and validation of optimised discrimination and classification methods for single particle multichannel UV-LIF measurements.
What is the impact of your research so far?
This new quantitative evidence will enhance our understanding of how various environmental factors—such as building design, construction materials, dampness, temperature, humidity, ventilation, outdoor environments, and human activities—affect indoor bioaerosol concentrations and compositions. The findings will inform policies, practices, and solutions (structural, environmental, or behavioural) aimed at managing bioaerosol risks in residential settings. Additionally, this research will contribute to the development and validation of artificial intelligence (AI)-based numerical prediction models designed to reduce or eliminate exposure to harmful bioaerosols while balancing the need for energy efficiency and indoor air quality. Furthermore, the results will guide the design and development of new portable, cost-effective, high-resolution bioaerosol sensors.
What has been the highlight of your research career to date?
There have been many highlights in my research experience so far. I enjoyed problem-solving when faced with unexpected challenges, and I found presenting my work through presentations, posters, and discussions to be particularly rewarding. Some of my favourite moments included working with a diverse range of complex instruments, working with various biological materials, including microorganisms and cell lines, and drafting my first paper as the main author.
What do you enjoy doing outside of work?
I enjoy a variety of activities, particularly when friendly competition is involved. I have a passion for weightlifting because I appreciate both the physical and mental benefits it provides. Additionally, I like playing video games, golfing, and swimming. The sense of competition, community, and friendship that comes with these activities is what I truly enjoy.