KAUST offers me world-class research resources and support. Its highly international working environment allows me gain a global perspective.
Building 1, Al-Khawarizmi, 4th floor, 4200-CU05
Fengqing received her Ph.D. in 2017 from the Saw Swee Hock School of Public Health, National University of Singapore. Her Ph.D. dissertation is “Bayesian Methods for Estimating Global Health Indicators”. She has been actively collaborating with United Nations Population Division and UNICEF since 2012. She develops complex statistical models for sparse and noisy data for population indicators (e.g. sex ratio at birth, under-5 child mortality rate) across countries over time.
Education and Early Career
2017: Ph.D., Saw Swee Hock School of Public Health, National University of Singapore.
Dissertation: “Bayesian Methods for Estimating Global Health Indicators”.
2012: BSc (Hons) majoring in Statistics, National University of Singapore.
Statistical demography; Global health; Bayesian modeling; Time series analysis.
- Sep 2019 – Sep 2021: Long Term Agreement for Services (LTAS) for UNICEF. PI: Chao, F. LTAS-42107038. (Awarded to KAUST with faculty mentor Prof. Hernando Ombao.
- National University of Singapore, Dean's List: AY 2010/2011 Semester 2.
- National University of Singapore Undergraduate Scholarship: 2008 to 2012.
- Best Poster Award: XXVII IUSSP International Population Conference.
Associate Editor for the Foundation of Data Science (AIMS).
Reviewed for The Lancet Global Health. Annals of Applied Statistics. BMJ Global Health. Journal of Development Effectiveness. Global Health Research and Policy. BMC Public Health.