Long-term engagement in AI for Science research. Addressing the bottlenecks of high difficulty, high cost, and long cycles in molecular design, I conduct AI-driven de novo design of small molecules, peptides, proteins, and nucleic acids. My research focuses on the "Expert Wisdom + General AI + Specialized AI + Wet Lab Robot" four-in-one collaborative molecular design theory, constructing a full-chain dry-wet closed-loop intelligent molecular design platform, aiming to significantly improve the success rate and efficiency of molecular design. Related work has been published in journals such as Nature Machine Intelligence and Advanced Science as the lead author. Current research interests include:

• AI Basic Research: Agents and Swarm Intelligence, Molecular Representation Learning and Generative Design
• AI for Science Research: De novo Design of Small Molecules/Peptides/Proteins/Small Nucleic Acids/Materials, Synthesis Planning, Target Discovery, Smart Plant Protection

Contact: I look forward to connecting with experts and students to exchange new ideas (WeChat: yvquanli).

Call for Papers: Welcome to contact me for submissions to TIDD/Innovation/Exploration/iMeta journals. High-quality manuscripts can be prioritized for review.

Recruiting: Recruiting Master's/Ph.D. students/Joint Training/Interns. I promise not to steal first authorship, not to be abusive, and not to delay graduation. Introductory training upon enrollment, detailed guidance throughout the process, abundant diverse computing resources. I help every student produce a first-author Q1/A-conference paper, and fully support excellent students in publishing in sub-journals.