Owen has a background in Mathematics and Statistics with previous experience in social research, data analysis and computer programming.
Owen is currently employed as a Senior Lecturer and his role incorporates teaching, research and research support.
Owen teaches research methods and data analysis to undergraduate and postgraduate students.
Owen is engaged in research across a wide range of fields through collaborations with academic colleagues and clinicians.
This module covers a number of principles of biological data analysis using statistical software.
Mae¿r modiwl hwn yn cwmpasu nifer o egwyddorion dadansoddi data biolegol drwy ddefnyddio meddalwedd ystadegol.
The aim of this module is to provide a capstone experience to students¿ learning, through participating in their own enquiry-based research project, with guidance from an academic supervisor. The project may be laboratory or non-laboratory based, but it will always involve a research question that is drawn from the literature, and focused on a topic relevant to the life sciences. It will ask a research question and involve the critical analysis of research findings. Students will refine their oral and written communication skills to a graduate level through an oral presentation and dissertation on their research findings and conclusions.
This module aims to equip students with with the skills they will need to write their final year dissertation. We will give students the opportunity to apply the basic data analysis techniques they learned in level 5 and introduce the skills necessary to produce high quality scientific writing, with a particular emphasis on quantitative research reports and/or journal articles.
This module builds on the foundations introduced in the PM- 238 module by introducing students to some more advanced statistical methods, specifically those relevant to medical research. This module will involve more statistical theory and mathematics than the second year Biostatistics module.
This module is for students with an interest in teaching, science communication, and medicine. Students will complete an enquiry-based research project, based within the field of pedagogy or science communication, with guidance from an academic supervisor. Projects may be completed in collaboration with local schools/colleges, community groups, science outreach programmes (e.g. Oriel Science), in clinical/patient settings, or within Higher Education. Students will engage with workshops and digital resources to introduce various themes surrounding pedagogy and science communication to prepare them for their research project. Students will be required to critically analyse their research findings and produce a teaching or outreach activity/resource. Students will refine their oral and written communication skills to graduate level through an oral presentation and dissertation.
This module explores the concepts, principles and applications of various approaches to data analysis and interpretation for both qualitative (including thematic content analysis) and quantitative methods (including analysis of difference, variance and relationship).
This module explores the concepts, principles and applications of various approaches to data analysis and interpretation for both qualitative (including thematic content analysis) and quantitative methods (including analysis of difference, variance and relationship).
