Hello, I am你好，我是
PhD Student in Chemistry · Tsinghua University · AI for Chemistry 清华大学化学系 · 博士二年级 · AI for Chemistry
I teach machines to read chemistry — extracting, organizing, and discovering knowledge about organic reactions from the literature. I am currently building ReactionSeek, an LLM-powered engine for reaction retrieval and synthesis knowledge discovery. 我让机器学会阅读化学——从文献中提取、组织并发现有机反应知识。目前正在打造 ReactionSeek：一个由大语言模型驱动的化学反应检索与知识发现引擎。
01 · About01 · 关于
A few words about who I am and what I care about. 用几句话，快速认识我。
I am a second-year PhD student in the Department of Chemistry at Tsinghua University, working at the interface of large language models and organic synthesis in Prof. Sanzhong Luo's group. My goal is to turn unstructured chemical literature into structured, searchable reaction knowledge — and to build tools that chemists actually enjoy using.
我是清华大学化学系博士二年级学生，在罗三中教授课题组从事大语言模型与有机合成交叉方向的研究。我的目标是把非结构化的化学文献变成结构化、可检索的反应知识，并做出化学家们真正愿意用的工具。
My recent work includes ReactionSeek (Nat. Commun. 2026), a framework coupling LLMs with cheminformatics for literature data mining, and its successor ReactionSeek 2.0, currently under review at CCS Chemistry. Beyond research, I am a photography enthusiast, a gamer, and a traveler.
近期工作包括 ReactionSeek（Nat. Commun. 2026）——将大语言模型与化学信息学工具结合的文献数据挖掘框架——以及它的继任者 ReactionSeek 2.0（投稿于 CCS Chemistry）。科研之外，我是摄影、游戏与旅行爱好者。
02 · Journey02 · 经历
The path so far — newest first. 一路走来的足迹，最新的在最上面。
2025 — Present2025 — 至今
Tsinghua University · Department of Chemistry化学系
Working on AI for Chemistry in Prof. Sanzhong Luo's group at the Center of Basic Molecular Science — developing LLM-powered tools for reaction retrieval and knowledge discovery, including ReactionSeek 2.0. 在基础分子科学中心罗三中教授课题组从事 AI for Chemistry 研究——开发基于大语言模型的反应检索与知识发现工具，包括 ReactionSeek 2.0。
2021 — 2025
Tsinghua University · Department of Chemistry化学系
Completed my undergraduate studies in chemistry, where I found my way to the interface of chemistry and AI. 本科就读于清华大学化学系，并在这里找到了化学与 AI 的交叉方向。
03 · Research03 · 研究
The questions I care about, and the work I've done. 我关心的问题，以及做过的工作。
Combining machine learning, cheminformatics, and chemical intuition to accelerate discovery.将机器学习、化学信息学与化学直觉相结合，加速科学发现。
Teaching LLMs to read both text and reaction schemes in the literature, and to distill them into curated datasets.让大语言模型读懂文献中的文字与反应式，并将其提炼为高质量反应数据集。
Building searchable reaction engines that help chemists plan and verify syntheses — ReactionSeek is one of them.构建可检索的反应引擎，辅助化学家规划与验证合成路线——ReactionSeek 正是这类工具。
04 · Projects04 · 项目
Things I've built with my own hands. 一些我亲手做出来的东西。
A next-generation LLM-powered engine for chemical reaction retrieval and knowledge discovery — the successor to ReactionSeek. Under review at CCS Chemistry; you can try it live. 由大语言模型驱动的化学反应检索与知识发现引擎，ReactionSeek 的继任者。正在投稿 CCS Chemistry，可直接在线体验。
A framework coupling large language models with cheminformatics tools to mine multi-modal reaction data from the chemical literature. Published in Nature Communications. 将大语言模型与化学信息学工具结合、从化学文献中挖掘多模态反应数据的框架。发表于 Nature Communications。
The page you are reading: handwritten HTML/CSS/JS with light & dark themes and bilingual UI — no frameworks, no build step, hosted on GitHub Pages. 你正在浏览的这个页面：手写 HTML/CSS/JS，支持深浅色主题与中英双语切换，无框架、无构建，托管在 GitHub Pages 上。
05 · Contact05 · 联系
Whether you want to talk about chemistry, AI, or anything in between — my inbox is always open, and I reply fast. 无论想聊化学、AI，还是两者之间的任何话题，都欢迎写信给我，我会尽快回复。