Our interdisciplinary team brings together diverse perspectives to advance Medical Knowledge and Decision Support.
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Janna Hastings
Assistant Professor
Janna leads the dynamic team of Medical Knowledge and Decision Support in St.Gallen and Zürich.
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Charlotte Tumescheit
Postdoctoral Researcher
Charlotte is a postdoctoral researcher, focusing on interpretable AI for biomedical discovery and clinical applications.
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Paula Muhr
Postdoctoral Researcher
Paula focuses on knowledge-producing functions of new imaging and visualization technologies across medicine and physics.
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Maya Braun
Postdoctoral Researcher
With expertise in psychology and data analysis, Maya advances behavior change ontologies and creates tools for personalized digital health.
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Fabio Dennstädt
Postdoctoral Researcher
Fabio is a clinical researcher focusing on integrating machine learning and natural language processing into oncology and radiation therapy practices.
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Björn Gehrke
Semantic Technologist
Björn is driving innovation in healthcare by developing cutting-edge ontologies as a Semantic Technologist, leveraging his expertise in software development and computer science.
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Marie Wosny
PhD Student
Marie is investigating how digitalization and artificial intelligence are transforming access to medical information, physician workflows, and decision-making in oncology.
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Esther Federspiel
External PhD Student
Esther is exploring the potential of personalized digital behavior support interventions, combining her expertise in psychology and innovation with her research in digital health.
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Lucas Caluori
Research Assistant
Lucas is a social scientist exploring the role of technological innovations, such as image-generative AI, in shaping both digital and physical environments.
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Thibault Niederhauser
Data Scientist
Thibault is a data scientist, experienced in leveraging AI and ML for innovation in life sciences, now focused on improving oncology decision-making through AI.
More
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Livia Strasser
Student Research Assistant
Livia is a medical student focusing on researching the impact of digital systems in healthcare and contributing to the education of future medical professionals.
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Yating Pan
Master’S Student
Yating is a master’s student researching retinal disease prediction with multimodal LLMs, with experience in AI healthcare discussions and NLP systems.
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Joëlle Bagdasarianz
Master’S Student
Joëlle researches AI-provided information for lumbar back pain compared to physiotherapists while pursuing her Master’s in Physiotherapy.
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Niklas Beckmann
MD Student
Niklas, a medical resident with a background in philosophy and social sciences, is researching disease prediction from phenotypes using an ontology-based knowledge graph built from EHRs.
Alumni
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Joshua Sammet
Student Research Assistant
Joshua applied his expertise in machine learning and biomedical engineering to support programming and code testing on medical research projects.