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Marvin Kopka is a health psychology and AI researcher who studies how people understand and manage health in everyday life and how technology can support healthier, better lives.

Marvin Kopka is a postdoctoral researcher at TU Berlin and an Honorary Research Associate at Imperial College London’s School of Public Health. In his work, which connects health psychology and human-centered AI, he examines how people interpret health information and make decisions under uncertainty to understand, maintain, and restore health in everyday life. He also investigates how technology can support healthier, better lives.

Marvin Kopka is a postdoctoral researcher at TU Berlin and an Honorary Research Associate at Imperial College London’s School of Public Health. His research sits between health psychology and human-centered AI. Much of his work starts from the observation that health decisions are often made under uncertainty with limited time and knowledge. His research aims to help the public make sense of these situations and examines how people understand health problems, judge symptoms and information, and make decisions to maintain and restore health in everyday life.

His academic background spans psychology, human factors, public health, research methods, and medical informatics. Across these areas, he studies self-care, digital health tools, and AI with the aim of making health technology more useful in everyday care.

Marvin Kopka is a postdoctoral researcher at TU Berlin and an Honorary Research Associate at Imperial College London’s School of Public Health. His work connects health psychology and human-centered AI. He holds two PhDs in research methods and medical informatics, two master’s degrees in human factors and public health, and a bachelor’s degree in psychology.

His research starts from a practical problem: many important health decisions happen outside clinical encounters. People interpret symptoms, search for information, judge risks, manage worry, and decide whether and how to care for themselves or seek professional help. These decisions are often made with limited time, incomplete information, and competing demands. Consequently, support must fit the situations in which people actually live and make decisions.

Against this background, Dr. Kopka examines how people understand, maintain, and restore health in everyday life and healthcare contexts. His work addresses self-care, care-seeking, patient empowerment, health promotion, and digital or AI-supported health technology. This includes research on symptom assessment applications, large language models, and other tools that may help people make sense of health concerns, but may also guide attention and decisions in problematic ways. Across this work, he aims to develop evidence, tools, and interventions that support the public in managing their health.