KAUST offers me world-class research resources and support. Its highly international working environment allows me gain a global perspective.

Location

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.

Research Interest

Statistical demography; Global health; Bayesian modeling; Time series analysis.

Research Grant

  • 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.

Awards

  • 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.

Editorial Position

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.

Selected Publications

Chao, F., Gerland, P., Cook, A. R., & Alkema, L. (2019). Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels. Proceedings of the National Academy of Sciences, 9303-9311
Chao, F., You, D., Pedersen, J., Hug, L., & Alkema, L. (2018). National and regional under-5 mortality rate by economic status for low-income and middle-income countries: a systematic assessment. The Lancet Global Health, 6(5), e535-e547.
Alkema, L., Chao, F., You, D., Pedersen, J., & Sawyer, C. C. (2014). National, regional, and global sex ratios of infant, child, and under-5 mortality and identification of countries with outlying ratios: a systematic assessment. The Lancet Global Health, 2(9), e521-e530.