Dr. Sandra Barteit

Research Group Leader “Digital Global Health”
Heidelberg Institute of Global Health, Heidelberg University, Germany
barteit@uni-heidelberg.de

Bio:
Sandra Barteit holds a Master of Science in Analytics (Computational Data Analytics), a Master of Arts in Computational Linguistics, and a doctorate (Dr.sc.hum.) from the Institute of Global Health at Heidelberg University. Her dissertation comprised of a mixed-methods evaluation of a Zambian e-learning medical intervention, which was part of a larger effort to improve medical education in Zambia through digital technologies, and Dr Barteit leads as the principal investigator: the Blended Learning in Zambia (BLiZ) project, which is a partnership between the largest medical university in Zambia and an international organization (Levy Mwanawasa Medical University). Her primary area of interest is digital global health, specifically how to best use technology to improve global health, particularly Artificial Intelligence and Machine Learning techniques. She leads the project Development and Analysis of Population Health Cohorts in Burkina Faso and Kenya, which focuses on wearable research for population health surveillance in order to better understand the effects of climate change on human health. In addition, she coordinates the Global Health elective track at the medical faculty, as well as other projects, such as a large randomized control trial involving online cohorts to better understand vaccine hesitancy, and investigates adolescent health risk profiles using clustering algorithms to better understand risk groups in order to shape better interventions.