I am widely interested in data analysis, visualisation and manipulation - which I’ve applied across a variety of domains: national health data, occupational therapy, transport, data for good, tourism, housing and online retail (for a furniture manufacturer).
My academic background is in psychology, emotion and research methods, and includes a PhD in Psychology awarded by The University of Edinburgh with no corrections. At the time, my doctoral research investigated if various emotion-generating stimuli used in lab settings (including VR & the Oculus Rift DK1) could approximate emotional states occurring in daily life, as measured using a bespoke Android phone app. As part of my doctoral research I also tested if model-based cluster analysis can serve as a computational model for how humans create (fuzzy) emotional categories.
Previously, I have also been heavily involved with community events in the area of data science: I have organised DataTech19 and planned DataTech20; I have also organised the Edinburgh R meetup (EdinbR) for a number of years.
- Constantinescu, A. C., Wolters, M., Moore, A., & MacPherson, S. E. (2017). A cluster-based approach to selecting representative stimuli from the International Affective Picture System (IAPS) database. Behavior Research Methods, 49(3), 896-912.