Fei Wang

Fei Wang's research focuses on addressing the challenges of large-scale liquid-phase information processing, aiming to construct large-scale DNA molecular computing and big data DNA storage systems.

Fei proposed a general-purpose liquid-phase integrated circuit construction strategy using single-stranded DNA as the global transmission signal and constructed a DNA-based programmable gate array (DPGA) with general-purpose programming capability. By calling the logic gate elements in the DPGA through DNA molecular instructions, DNA computational circuit configuration similar to the FPGA mode of electronic systems was realized. Based on the concept of synergistic design of conformation and free energy, she designed compact, quick-responding, and computationally accurate DNA computing units, constructing a new type of dual-rail logic gates that can be addressed and called. More than 100 different computational functions have been robustly realized, demonstrating the highest program diversity of DNA circuit programming so far. These studies have achieved breakthroughs in the programmability and scalability of DNA molecular circuits, while also establishing a standardized design paradigm that separates DNA computing designers from users. This lays the foundation for the independent development of DNA computing systems' software and hardware, promoting the wide application of DNA molecular computing in biomedical fields​.

Currently, Fei has realized large-scale DNA digital computing circuits. The next phase aims to adapt this construction strategy to DNA storage systems to achieve massive data storage using DNA.