Jasmyn Gooding

Jasmyn Gooding

Miss

  • CMP 6/2.01

  • 2.42 Norwich Medical School

Personal profile

Biography

Jasmyn Gooding is a PhD Researcher in the school of Computer Science (CMP) and Research Coordinator in the Faculty of Medicine and Health (FMH) at UEA. She completed her first degree MSci At UEA in Biology, with a focus on evolution and cognition. 

Her research in CMP focuses on applying Deep Learning to dissect evolutionary signals, particularly in the context of conservation genomics and extinction risk prediction.

In FMH her role resolved around coordinating Patient and Public Involvement (PPI) activities across numerous reseach projects. This being from pre applications stage, and through the funded durations of the projects. She has a facilitation Role in INfLAIM; Inflammation, nutrition, and the evolution of multiple long term conditions – an AI-based analysis of intersectionality in longitudinal health data, and AISCS: Improving anxiety assessment in Stroke and Aquired Brain Injury: the validation of Anxiety Intensity Scale Circles and the Yale-anxiety, and Natural Language Proessessing Models. 

She is also passionate about science communication, being involved with the Norwich Sciences Festival for the last 5 years aswell as delivering numerous talks. 

Alongside these research roles Jasmyn is a Associate Tutor teaching on Maths, Machine Learning and Programming Models. 

Academic Background

I am currently pursing a PhD under the supervision of Dr Taoyang Wu (CMP) and Prof Cock Van Oosterhout (ENV). with a focus on developing Deep Learning Models to assess exitinction risk and recovry potential of species. 

I hold a Master of Science Degree from UEA, where my research concentrated long-term monitored populations of great tits (Parus major) and blue tits (Cyanistes caeruleus) and investivated corresspondance between social network manipulation and measuring cognition and behaviour in the wild.

Research Group or Lab Membership

Member, Computational Biology Lab

Member, Lifespan Health

 

Education/Academic qualification

Master in Science, Biological Sciences, University of East Anglia

20202024

Keywords

  • Bioinformatics & Computational Biology
  • machine learning
  • Evolution
  • Medicine (general)
  • Patient and Public Involvement
  • MLTCs