about
Kathryn joined the team in August 2021. Following a degree in mathematics from Newcastle University she worked in the defence industry modelling the physics of fluid dynamics before returning to academia in 2016. After completing a taught programme in statistics, programming and data science through the Cloud Computing for Big Data Center for Doctoral Training at Newcastle University she obtained her PhD in mathematics in 2022.
PROJECTS
-
Travel to Work Areas / CURDS, School of Geography, Politics and Sociology
2022- Compare implementation of Travel to Work Area calculations in R package with CURDS algorithm in FORTRAN
- Identify key differences between the two
- Make revisions and recommendations in order to reconcile any differences
-
Chicken Run / School of Natural and Environmental Sciences
2022- Monitoring of chickens via video camera to detect smothering behaviour
- Investigation of techniques to identify smothering both with hindsight and in real time
- Look into tracking of individual chickens and identification of group behaviour
-
EEG time series / CNNP Lab, School of Computing
2022- Review algorithms and methods of mode decomposition for spatial and temporal data
- Modification of existing Python package to compute Multi-Resolution Dynamic Mode Decomposition
- Handling of large iEEG data with missingness
-
Creativity Engine / School of English / Seven Stories - The National Centre for Children’s Books
2021-2022- Digitisation of Seven Stories archive
- Fine-tuning of text-generating AI with materials from the Seven Stories Archive
- Creation of webapp to allow children to co-create short-stories with text-generating AI
education
PhD Mathematics / Newcastle University
2017-2022
Statistical Topology for Random Fields and Branching Structures
technical
-
Programming:
-
Software:
-
Topics:
Interests
-
I enjoy: