معرفی
Tamás Nagy is an Assistant Professor of Psychology at ELTE Eötvös Loránd University in Budapest. He leads the ELTE Stress and Emotions Lab, focusing on stress physiology, emotion perception, and computational methods in psychology. His research integrates experimental psychophysiology with machine learning to explore how physiological arousal influences emotions, cognition, and behavior.
- Affiliations: Department of Personality and Health Psychology, Institute of Psychology, ELTE; Research Transparency Committee member
- Education: PhD in Psychology (2016, ELTE & University of Amsterdam), MA in Psychology (2006, ELTE)
Research Interests: Stress and emotion psychophysiology, machine learning applications in psychology, improving research transparency. His work spans topics like cortisol responses to stress, facial feedback effects, and statistical methodology in psychological science.
Teaching: Courses in data analysis, statistical inference, R programming, and advanced research methodologies for B.A., M.A., and Ph.D. students.
Publications: Recent work includes studies on growth mindset interventions, multi-lab facial feedback hypothesis testing, and international collaborations on statistics anxiety. His projects also explore unconventional topics like Game of Thrones survival analysis and music genre classification via machine learning.
Labs/Teams: ELTE Stress and Emotions Lab, collaborating on projects like the Many Smiles Collaboration and Multi100 dataset initiatives. Active in workshops on R programming and meta-analysis.
