Research Assistant
Telephone: (01792) 606745
Room: Seminar Room - 138
First Floor
Wallace Building
Singleton Campus

A Biologist and database manager with research experience in behavioural ecology and zoology and applied experience in wildlife and natural resources management. I have 10 years of fieldwork experience (population and invasive species monitoring, behavioural observations, capture-mark-recapture and radiotracking), 5 years of experience as research project manager, and 8 years of experience in data curation and database design.

I have specialised in the last 8 years in biocuration, database design and research data management, especially using PostgreSQL, first working for the French ONCFS Institute, then for the international data sharing project EURODEER. In SEACAMS I am developing and curating a relational databases system to manage all main current and past research data produced by the group, from biologging data to fish abundance and morphological data, from benthos and sediment to acoustic data, from seabird behaviour to seagrass monitoring.

With both a research and a data management background, my interest is in finding researcher-focused solutions to efficient data management practices to facilitate data sharing and collaborations, multi-project data collation, data re-use, and enable proper open data standards.


Areas of Expertise

  • Spatial Object-relational databases
  • SQL language
  • Research data management
  • Data sharing
  • PostgreSQL
  • Animal behaviour
  • Movement ecology
  • Remote sensing
  • Home range
  • Habitat use
  • Survey
  • Natural resource management


  1. Williams, H., Taylor, L., Benhamou, S., Bijleveld, A., Clay, T., Jeudi de Grissac, S., Demšar, U., English, H., Franconi, N., Gómez‐Laich, A., Griffiths, R., Kay, W., Morales, J., Potts, J., Rogerson, K., Rutz, C., Spelt, A., Trevail, A., Wilson, R., Borger, L. Optimizing the use of biologgers for movement ecology research Journal of Animal Ecology 89 1 186 206


  • BIO252 Ecological Data Analysis

    This module introduces students to the basics of analyzing ecological data, using the R Software Environment for Statistical Computing. The topics covered will be also broad enough to be equally applicable to basic data analysis across biology. Students will receive 8 computer-based workshops/practicals, complemented by 9 lectures before each workshop. Furthermore, a weekly drop-in stats help session will be provided, as well as help through a course Facebook page. The module will cover 5 key themes: 1). Data analysis and statistics, reproducibility and the R Software Environment; 2). Data management; 3). Data visualization; 4). Data analysis - The general linear model; 5). Data analysis - Presentation of results and outline of more advanced methods. The module will be subject to continuous assessment consisting of 3 pieces of computer-based work (60% of final mark), which will require the students to carefully complete all course work assigned on a weekly basis ('independent learning'), in order to be able to complete the assignments. A further 40% of the final mark will consist in a data analysis report, to be completed after the end of the course. Weekly readings and non-assessed computer-based exercises will be assigned, too.

  • BIO346 Professional Skills in Marine Biology

    This field-based module will introduce students to the professional techniques utilised to monitor and study marine life in a variety of marine and coastal habitats and in relation to conservation management and biodiversity monitoring in the United Kingdom. The course places a strong emphasis on marine ecological census techniques. Students will learn key skills relevant to the marine ecology sector including protected and economically-important species (especially marine mammals, fish, shellfish, coastal birds), Phase 1 habitat surveys and water quality surveys. Students will also learn about the biotic and abiotic factors that define different UK habitats and relevant regulations that protect them. The module provides an introduction to the Environmental Impact Assessment (EIA) process and a range of impacts on the marine environment including energy generation and pollution. Participants in this module will work in groups acting as a marine environmental consultancy and the class will be responsible for producing key survey results for an Environmental Impact Assessment (EIA) and public engagement presentation for a proposed commercial development in Carmarthen Bay. Students will gain insider experience about professional techniques in marine (and freshwater) biology through a series of lectures delivered by marine environmental practitioners from environmental consultancies and regulatory organisations in the UK. The course includes a five-day residential field course in September/October which provides the students with the opportunity to practice the key technical skills in a real-world setting.