Theresa Willem M.A.
Theresa Willem is a research associate at the Institute for Ethics and History of Medicine and a PhD student at the Department of Science, Technology and Society (STS) at the School of Social Sciences and Technology and the Technical University of Munich (TUM). She studied Media Studies (M.A.) at the University of Regensburg, at IHECS (Brussels) and at the Humboldt University of Berlin. Theresa Willem has practical experience in digital health innovation and development.
Since 2020, she has been part of the TherVacB research project, focusing her research on issues related to ethical, social, and regulatory problem areas of patient recruitment for clinical trials via social networks.
Since 2021 she is part of the research project DR-AI. Her research focuses on ethical and social implications of the development of diagnosis-assisting AI systems for radiology and dermatology, as well as the integration of ethical research into technology projects.
As a PhD student, Theresa Willem writes at the intersection of artificial intelligence, digital health, and ethics. To this end, she is researching the embedded ethics approach - the idea of anchoring ethical work in the development of machine learning healthcare applications.
Theresa Willem is co-initiator of the Innovation Network Public Health (InÖG) and alumna of the Bavarian EliteAcademy and the German National Academic Foundation.
- Ethical implications of modern biomedicine and health technology.
- Research Ethics
- Embedded Ethics
- Science and Technology Studies (STS)
- DR-AI - Development of application-oriented analysis algorithms in the imaging disciplines of dermatology and radiology with the help of artificial intelligence, 01.10.2020-30.09.2023
- TherVacB - A therapeutic vaccine against hepatitis B, January 2020 until December 2024
- Ethics and Palliative Care Seminar (Certificate of Achievement GTE) (SoSe and WiSe)
Theresa Willem gives scientific and public lectures on the following topics:
- Ethical challenges in medicine
- Ethical implications of new developments and technologies in medicine (AI in medicine).