Dr Eric Ohuma
BSc MSc DPhil CStat
of Medical Statistics
Before joining LSHTM, Eric was a Child Growth & Development Senior Research Fellow at the Centre for Global Child Health (SickKids) - Canada. Previous to this, he was at the University of Oxford as the Lead Statistician of the INTERGROWTH-21st Project, an international multi-centre project that resulted in some key publications i.e., the international standards for pregnancy dating, standards for monitoring fetal size during pregnancy, neonatal size at birth, postnatal standards for monitoring preterms, and gestational weight gain standards among others. The international growth standards are currently used in several hospitals/countries and have contributed to changes in clinical practise. Whilst at the University of Oxford, Eric was also the module organiser and lecturer for Epidemiology & Statistics for the MSc in International Health and Tropical Medicine. He also worked at the Kenya Medical Research Institute (KEMRI)/Wellcome Trust Research Centre as a Medical Statistician.
Eric has published >100 peer-reviewed papers. He holds a DPhil (PhD) in ‘Statistical issues in the study of fetal and neonatal growth’ from the University of Oxford (UK), an MSc in Medical Statistics from the London School of Hygiene & Tropical Medicine (UK), and a BSc in Applied Statistics from Maseno University (Kenya).
Eric is one of the module organisers for Statistical Methods in Epidemiology. He teaches on Statistical Methods in Epidemiology and Advanced Statistical Methods in Epidemiology. Currently supervising MSc and PhD students.
Eric joined LSHTM in March 2020 as an Associate Professor of Medical Statistics. He is the statistical lead for a complex evaluation of mortality and health systems analyses to improve the care of small and sick newborns (NEST360 program), small vulnerable newborn project, and the lead for a project on practical guidance and tools for growth monitoring of vulnerable newborns and infants. His research interests are in statistical and methodological approaches for child growth and development, clinical prediction modelling, and impact evaluation of complex interventions.