Photo of Dr Jacqueline Christmas

Dr Jacqueline Christmas

Postdoctoral researcher

Email:

Extension: 4059

Telephone: 01392 724059

Background

I graduated with an MSc in Applied Artificial Intelligence in 2007 and a PhD in Computer Science in 2011, both from the University of Exeter.  Before that I worked as a systems analyst and database designer for a number of large corporations, such as Johnson & Johnson, JP Morgan Chase and Tesco's.  In the dim and distant past I graduated with a BSc (Hons) in Computer Science from the University of Exeter.

Research interests

Bayesian modelling, variational approximation, object tracking in videos, genetic programming.

Current projects

  • Using variational Bayesian models to track wild crickets (Gryllus campestris) from recorded video clips.  The crickets are labelled with alphanumeric tags which we aim to recognise and we would like to identify certain behaviour patterns.
  • Recognising the coloured leg-bands on still pictures of ground-dwelling birds.  Here we would also like to identify certain classes of behaviours.
  • Using new variational Bayesian latent variable models (see "Robust spatio-temporal latent variable models") to model EEG data and to estimate missing values in satellite images of phytoplankton in the surface of the sea.