Dr Fiorella La Matta Romero

Qualifications:

PhD. Built environment; MSc. Water Resource Management; BSc. Biology

Position:

Associate lecturer

Department:

Faculty of Environment and Technology (FET)

Email:

Fiorella.Lamattaromero@uwe.ac.uk

Social media:

About me

I am an environmental and social scientist with a PhD in Water and Energy Conservation, supported by an MSc in Water Resources Management and a BSc in Biology, where I specialised in ecotoxicology. My work brings together environmental science and an understanding of everyday practices, particularly how people use water and energy in their homes.

I use a combination of advanced data analysis (including Bayesian Networks and PCA) and qualitative approaches to explore behaviour in context. My research at UWE Bristol draws on social practice theory to develop realistic, evidence-based ways to reduce household resource use while supporting comfort and wellbeing.

I have worked closely with academic, industry, and community partners to co-design and deliver workshops and projects, and I enjoy creating spaces where research can inform practice in meaningful ways.

I am motivated by bridging environmental science and real-world impact, and I am currently seeking opportunities in Bristol and across the UK in sustainability consultancy, applied research, or environmental management.

Area of expertise

I have experience in field and laboratory work on water and soil pollution issues, as well as in the sustainable management of water resources, particulary on Andean streams. Strong interest in research and development of Environmental and water Management and water quality and bioremediation projects. 

Research Interests:
Water and energy nexus use behaviour in households: focusing on theories of social practice and behaviour change to understand the drivers of consumption practices and habits.
Water Quality and Management: Developing and implementing strategies to monitor, assess, and improve the quality of natural water sources.
Data Analysis: Emphasizing innovative analysis of mixed quantitative and qualitative data sets including the use of Bayesian network analysis.

Publications

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