liuzhikai.com research notes / 2026

Evolution · AI · LNP nanodelivery · Biomanufacturing

Zhikai Liu

I write and build around the evolution of complex biological systems: how LNPs, nanodelivery platforms, biomanufacturing, and AI turn biological behavior into things we can design, measure, and improve.

- Work -

From molecules to particles to systems: biomanufacturing is becoming an evolutionary design discipline.

The public thread of my work is about that transition: how LNPs and other nanodelivery platforms become programmable systems, how complex biological phenotypes become machine-readable memory, and how AI can help scientific work move from isolated screening toward adaptive design.

LNP nanodelivery

LNPs and nanoscale delivery platforms as designable particles, interfaces, and biological transport systems.

Evolutionary systems

Design, phenotype, adaptation, and evolution as a loop for reading and improving complex biological systems.

Biomanufacturing

How controllable particles, processes, and quality signals become a manufacturing grammar for living systems.

- Writing -

Public essays for ideas that need more than a paper abstract and less than a private notebook.

This site will collect framework notes, paper commentary, visual explanations, and short arguments about AI4Science, LNP nanodelivery, biomanufacturing, complex biological systems, and the future of scientific toolmaking.

Evolutionary design

Why some scientific problems are better understood as trajectories, pressures, and adaptation rather than static screening.

Systems manufacturing

How the object of biomanufacturing moves from making molecules, to shaping particles, to orchestrating behavior.

AI-native experiments

Practical language for planners, generators, evaluators, and human judgment inside laboratory workflows.

Field notes

Careful comments on public papers, platforms, infrastructure, and emerging AI4Science practice.

- Collaboration -

Useful conversations sit between materials, computation, manufacturing, and translation.

I am interested in people working on robust delivery systems, interpretable experimental loops, scientific software, and public explanations that help a field see its own operating system.

- Contact -

For research conversations, collaboration ideas, and public writing.

This is the public layer: concepts, essays, selected links, and collaboration surfaces only. It is intentionally written at the level of ideas, methods, and published materials.

Research LNP nanodelivery, evolutionary systems, AI for Science, biomanufacturing, and complex biological systems.
Writing Essays and diagrams on scientific reasoning, AI4Science, and complex biological systems.
Boundary Public concepts, published materials, and collaboration notes only.