Tom Rosenström

Tom Rosenström is a Lecturer and Research Fellow at the University of Helsinki, affiliated with the Faculty of Medicine and the Department of Psychology. He serves as a supervisor in the Doctoral Programmes in Human Behaviour and Cognition, Learning, Instruction, and Communication. His research spans clinical psychology, cognitive science, and machine learning, focusing on psychotherapy outcomes and decision-making models.

• Supervisor, Doctoral Programme in Human Behaviour
• Supervisor, Doctoral Programme in Cognition, Learning, Instruction and Communication
• Academy Research Fellow, Department of Psychology
• University Lecturer, Department of Psychology
• Docent, Faculty of Medicine

Rosenström’s research integrates machine learning with mental health to analyze psychotherapy effectiveness, including internet-based CBT and inter-temporal decision-making in depression. Recent work examines occupational stress in healthcare professionals during pandemics and dropout risk prediction in digital therapies.

His academic collaborations include a visiting researcher role at the University of Bristol (2015) and ongoing projects like 'Machine learned causal factors for psychotherapy' funded by the Finnish Academy (2023-2025). Publications (104) and projects reflect a strong emphasis on applied psychological science and data-driven mental health research.