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Heidelberg Institute of Global Health, University Hospital Heidelberg. With an interdisciplinary background in artificial intelligence, data science, digital educational technologies, and global health, her research addresses global health challenges, particularly in resource-constrained settings in Africa and Asia. Her expertise includes the development and implementation of e-learning programs, machine learning applications, and the integration of sensor-based technologies such as wearables, remote sensing, and weather stations to continuously measure health impacts of climate change on an individual level. By connecting these data points and identifying risk clusters, her work drives targeted interventions.
At the core of her current work is the PULSE-AI project, funded by the Carl Zeiss Foundation with €1.5 million. This innovative research leverages graph databases and artificial intelligence to examine the health impacts of climate change on vulnerable populations. By deploying wearable sensors and environmental monitoring stations, the project collects real-time data to identify patterns signaling health risks from heat and other climate factors. The goal is to develop scalable, evidence-based health interventions for low- and middle-income countries.
In addition to her research, Sandra Barteit is actively engaged in teaching. She leads the Global Health elective track and teaches courses in global health and research methodologies, supervising students on projects addressing the health effects of climate change. Her academic qualifications include a Dr.sc.hum. in Global Health from Heidelberg University, a Master’s in Data Analytics from the Georgia Institute of Technology, a Master’s in Innovation and Entrepreneurship from HEC Paris, and a Magister Artium in Computational Linguistics.
Official Link to Working Group Website “Digital Global Health”:
https://ukhd.de/digitalGH