Dr Eric Ohuma
BSc MSc DPhil CStat
Associate Professor
of Medical Statistics
Before joining NEST360, 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).
Affiliations
Centres
Teaching
Eric is one of the module organisers and lecturer for Statistical Methods in Epidemiology. He is also a tutor on the Design and Analysis of Epidemiological Studies module for the distance learning MSc in Clinical Trials. Supervising MSc and PhD students.
Research
Eric joined LSHTM in March 2020 as an Associate Professor and Statistical lead for NEST360 program. He is leading on the complex evaluation of mortality and health systems analyses to improve the care of small and sick newborns. His research interests are in statistical and methodological approaches for child growth and development, clinical prediction modelling, and impact evaluation of complex interventions.
