Ruiheng Wu
Papers
1
Total Citations
14
H-Index
1
About
Ruiheng Wu is a leading researcher in systems and computational biology, with a focus on unraveling the algorithmic foundations of collective behavior in biological systems. Their most-cited work, "Reverse engineering the control law for schooling in zebrafish using virtual reality" (2025, 14 citations), represents a landmark contribution to the field. In this study, Wu employed cutting-edge virtual reality techniques to causally and quantitatively dissect the evolved mechanisms underlying zebrafish schooling behavior. By reverse-engineering the precise control laws that govern social interactions, their research provides a rigorous, algorithmic framework for understanding how individual-level decisions give rise to emergent group dynamics. This work not only advances fundamental knowledge in cellular and organismal systems but also establishes a critical methodological foundation for quantifying social behavior across species. Wu's contributions are pivotal for students and researchers seeking to bridge the gap between molecular mechanisms and complex collective phenomena, offering a powerful toolkit for future explorations in behavioral neuroscience and evolutionary biology.
Research Focus
Key Achievements
Top Papers
- 1