
Maneka Haulder
PhD Student
M.Haulder@exeter.ac.uk
Overview
Maneka graduated with a Master’s degree in Operational Research and Statistics from the University of Southampton. Following her interest in mathematical modelling, she joined the National Air Traffic Services (NATS) as a Research Analyst.
Maneka joined the College of Medicine and Health at the University of Exeter in 2019 after being awarded a Diabetes UK PhD studentship. She is currently working with Dr Rachel Freathy, Dr Beverley Shields and Professor Andrew Hattersley on the contribution of genetics in offspring birth weight. Her research also focuses on building clinical prediction models for large-for-gestational age (LGA) babies.
Qualifications
- Bsc(Hons) Mathematics with Actuarial Science, University of Southampton
- Master of Science in Operational Research and Statistics, University of Southampton
Research group links
Research
Research interests
Genetics, medical statistics and statistical modelling with a focus on models for inference and prediction.
Research projects
Current Projects:
- Using genetics to improve the prediction of large for gestational age babies in women with gestational diabetes.
-
Assessing whether genetic scores explain extra variation in birthweight, when added to clinical and anthropometric measures.
Links
Publications
Journal articles
External Engagement and Impact
Awards
Diabetes UK Early Career Investigator Award, Diabetes UK Professional Conference 2021.(Nominated)
Diabetes UK Basic Science Poster Award, Diabetes UK Professional Conference 2022.(Nominated)
Conferences and invited presentations
Early Growth Genetics Conference (EGG); 12th June 2020
University of Exeter, Annual Research Event; 2nd July 2020
Royal College Of Gynaecology (RCOG) Conference; 25th February 2021
Diabetes UK Professional Conference; 8th April 2021
Diabetic Pregnancy Study Group (DPSG) Conference; 3rd September 2021
Diabetes UK Professional Conference; 28th March 2022
The Paula Rantakallio Symposium; 15-17th June 2022
University of Exeter, Annual Research Event; 28-29th June 2022