معرفی
Mikhail Tamm is a Senior Research Fellow at Tallinn University's School of Digital Technologies, where he applies statistical physics and complex network theories to human-generated data. His academic journey includes positions as Associate Professor at Moscow State University and Higher School of Economics, Lecturer at Moscow Physical Technical Institute, and postdoctoral research at Université Paris-Sud. He holds a PhD in Physics from Moscow State University (2002), supervised by Igor Erukhimovich.
Research interests focus on interdisciplinary applications of physics methodologies:
- Statistical physics approaches to social/cultural data analysis
- Complex network theory for transport patterns and psycholinguistics
- Dimensional reduction techniques for human activity patterns
- Modeling abrupt transitions in social systems
Publication analysis reveals consistent focus on network science applications across physics, biology, and cultural studies, with recent emphasis on hyperbolic networks, language coexistence models, and computational cultural analytics. Methodological innovations in statistical mechanics form the core of his interdisciplinary work.
Current research projects include:
- Principal Investigator: 'Learning Processes in Language Dynamics' (Estonian Research Council, 2024-2025)
- Team member: 'Cultural Data Analytics Open Lab' (Tallinn University, 2024-2027)
- Team member: 'Learning Processes in Language Dynamics' (PRG1059, 2021-2025)
