Cai Wood

National University of Ireland, Maynooth

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About

Cai Wood’s research lies at the intersection of algorithmic self-assembly, molecular robotics, and theoretical computer science, where they develop simple yet powerful models to understand how complex structures can emerge from basic rules. Their most notable contribution is the introduction of **Turning Machines**, a minimalist algorithmic model for molecular robotics that abstracts the folding of one-dimensional chains into two-dimensional shapes—and can be generalized to 2D-to-3D folding. This work, published in 2022, provides a clean theoretical framework for asynchronous, instruction-based folding, offering a foundation for designing programmable matter at the nanoscale. While still early in its citation impact (3 citations), the paper has already attracted attention from researchers in DNA computing and self-assembly for its elegance and potential. Wood’s approach emphasizes simplicity and generality, making complex robotic behaviors more tractable for analysis and implementation. Their work is particularly valuable for students and researchers interested in the theoretical underpinnings of molecular robotics, showing how abstract computational models can guide the design of real nanoscale systems.