London School of Hygiene and Tropical Medicine
Master of Science, Epidemiology
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I bring over 25 years of experience in designing, implementing, and managing large-scale quantitative and qualitative health research projects, with a strong emphasis on data collection, annotation, and analysis across diverse global settings. My background includes leading multi-country epidemiological studies, developing and refining data collection tools, and mentoring teams in rigorous data management and quality assurance practices for medical and public health datasets. I am skilled in synthesizing complex programmatic and clinical data, ensuring data integrity, and translating findings into actionable insights for AI training, particularly in medical and health domains. Proficient in STATA, SPSS, and Microsoft Office, I have written funding proposals and protocols, and overseen projects involving surveillance, clinical trials, and outbreak response, ensuring high-quality labeled datasets for research and policy development. My collaborative approach and commitment to capacity-building make me adept at coordinating cross-functional teams to produce accurate, reliable, and ethically sourced training data for AI and machine learning applications.
Beth T. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Epidemiology
Doctor of Public Health, Behavioral Sciences and Global Health
Director
Research Director