Analyzing proteomics, transcriptomics, and cellular data to understand how individual cells create emergent structures through collective intelligence.
Studying how individual cellular decisions aggregate to form complex, functional structures without centralized control. Our research examines the fundamental principles that allow simple cellular components to self-organize into sophisticated architectures through swarm intelligence mechanisms.
By understanding these emergent properties, we aim to unlock new insights into development, regeneration, and disease processes, potentially leading to breakthrough applications in regenerative medicine and synthetic biology.
We combine advanced computational methods with experimental biology to decode the language of cellular swarm intelligence. Our interdisciplinary team develops novel algorithms to analyze multi-omics data and identify patterns of collective behavior.
By understanding how cells communicate and coordinate, we aim to unlock new insights into development, regeneration, and disease processes.