About
I develop mathematical and computational models of collective behavior in social and biological systems. My work draws on statistical physics, network theory, and AI-based simulation to explore emergent phenomena such as hierarchy formation, opinion polarization, group intelligence, and adaptive self-organization. Applications range from smart city dynamics and immune response modeling to outlier detection and behavior prediction.
Research Topics
🌍 Computational Social Science
💬 Opinion Dynamics
⚖️ Hierarchy Formation
👥 Collective Behaviour
🐦 Collective Motion
🧠 Collective Decision Making
🕸️ AI in Biology
🌐 Network Science
📈 Outlier Detection
Selected Highlights
Group Performance & Hierarchy
Optimal competence distribution enhances collective decision-making through structured influence and strategic independence.
Optimal competence distribution enhances collective decision-making through structured influence and strategic independence.
Opinion Polarization Model
The desire to avoid cognitive dissonance plays a crucial role in human opinion fragmentation and polarization.
The desire to avoid cognitive dissonance plays a crucial role in human opinion fragmentation and polarization.
Bionic Eyeglass Vision Algorithms
Bio-inspired models for visual attention and object recognition in unstable video flows for assistive devices.
Bio-inspired models for visual attention and object recognition in unstable video flows for assistive devices.
Book: Why We Live in Hierarchies
A quantitative treatise co-authored with Tamás Vicsek on the emergence, function, and optimization of hierarchy in natural and social systems.
A quantitative treatise co-authored with Tamás Vicsek on the emergence, function, and optimization of hierarchy in natural and social systems.
Big review: Collective Motion
A landmark synthesis on collective motion across biological systems, covering data, models, and empirical principles.
A landmark synthesis on collective motion across biological systems, covering data, models, and empirical principles.
Video Abstract: Opinion Polarization
A short animated explanation of how cognitive dissonance avoidance can drive ideological divergence.
A short animated explanation of how cognitive dissonance avoidance can drive ideological divergence.