Research Data Manager | Child Nutrition Researcher | Clinical Research & Digital Data Systems
A Malawian research data professional and child-nutrition researcher with extensive experience supporting clinical and nutritional studies involving severe acute malnutrition, acute childhood illness and long-term recovery.
His work spans research data management, study methodology, data curation, validation, research software, project administration and supervision. Within CHAIN and related studies, he has contributed to research investigating mortality, growth, intestinal and metabolic dysfunction, disability and long-term outcomes among children affected by severe malnutrition. His 2024 PLOS ONE authorship contribution included conceptualisation, methodology, software, supervision, validation and project administration in addition to data curation. He has also contributed to digital-health work involving the transition from paper records to REDCap-supported electronic systems, demonstrating how research data can strengthen monitoring and programme decision-making.
Emmanuel’s research examines survival, chronic-disease outcomes, metabolic and inflammatory disturbances, clinical warning signs, intestinal dysfunction, body composition, growth, disability, clinical monitoring and changing patterns of severe wasting and nutritional oedema. His contribution sits at the intersection of research data management and substantive child-nutrition science.
Within CHAIN-related research, his contributions span research methodology, data curation, investigation, study implementation, project administration, research software, supervision, validation and scientific publication. This reflects work across the research lifecycle rather than database support alone.
His work includes research database management, cleaning and validation, data curation, quality assurance, participant and clinical-data tracking, research documentation, implementation of digital tools, supervision of data collection, preparation of analysis-ready datasets and support for investigators producing research outputs.
Emmanuel has contributed to electronic charting research using REDCap to improve data collection, accessibility, monitoring and identification of high-risk infants. Practical outputs included weekly monitoring lists for infants with concerning weight patterns and better programme decision support.
His collaborations include ChroSAM and related work on chronic-disease outcomes, body composition, disability, growth, strength, development and school achievement among survivors of severe acute malnutrition.
His research record includes systemic inflammation and metabolic disturbances associated with mortality, daily clinical warning signs, intestinal abnormalities, nutritional stabilisation and changing mortality and readmission patterns in complicated severe malnutrition.
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