TinkerLab is an elite research lab where high school students work with world-class mentors to complete full research-to-product AI projects, producing publishable papers and portfolio pieces for university applications.
TinkerLab 是面向高中生的精英研究实验室。在顶尖院校导师指导下,完成从研究设计到产品开发的完整学术项目,产出可用于大学申请的论文与作品集。
Mentors from top CS &
AI research labs
Academic advisors &
research methodology
Students produce
peer-reviewable papers
Personalized letters from
faculty-level advisors
来自顶尖 CS 与
AI 实验室的导师
学术顾问团队
指导研究方法
学生产出达到
学术发表标准
来自教授级导师的
个性化推荐信
A three-layer progressive model that transforms students from AI users into AI researchers and creators
三层递进能力模型,让学生从 AI 使用者成长为 AI 研究者与创造者
Not memorizing concepts, but truly understanding how AI works, when to trust it, and when it fails. Building the foundation of critical thinking.
Design research questions, build datasets, create evaluation frameworks. Students learn to transform curiosity into testable hypotheses.
From code to interface, turning research findings into runnable, demonstrable applications. This is the most compelling material for applications.
不是记概念,而是真正理解 AI 如何工作、何时可信、何时会出错。建立批判性思维的基础。
设计研究问题、构建数据集、设计评估框架。学生掌握将好奇心转化为可验证假设的能力。
从代码到界面,将研究成果变成可运行、可展示的应用程序。这是最有说服力的申请材料。
Each project represents a complete research-to-product pipeline — the kind of work that stands out in university applications
每个项目都是完整的「研究→产品」流程 — 正是名校申请中最具区分度的材料
Developed an AI system that identifies subtle facial micro-expressions during mock interviews, comparing machine detection accuracy against trained psychologists to explore perception gaps.
构建 AI 微表情识别系统,在模拟面试场景中捕捉细微面部信号,对比机器与专业心理学家的判断差异,探索感知盲区。
Applied NLP to extract and visualize trade patterns from historical merchant correspondence along the Silk Road, mapping commodity flows and cultural exchange across dynasties.
运用 NLP 从丝路商人往来书信中提取贸易模式,可视化历代商品流动与文化交流路径。
Leveraging AI-powered comparative analysis to reconstruct phonological patterns of an ancient language family by identifying systematic sound correspondences across modern descendant languages.
利用 AI 驱动的比较分析方法,通过识别现代后裔语言间的系统音变对应规律,重建古语族的音韵系统。
Transforms musical compositions into procedurally generated 3D visual stories, mapping harmony and rhythm to dynamic scene elements with real-time WebGL rendering.
将音乐作品转化为程序化生成的 3D 视觉故事,将和声与节奏映射为动态场景元素,实时 WebGL 渲染。
Built a system that generates short stories following genre conventions, with a multi-dimensional evaluation framework assessing narrative structure, character depth, and stylistic coherence.
构建短篇小说生成系统,遵循类型文学范式创作,并从叙事结构、人物深度、风格一致性等维度进行多维质量评估。
Developed an AI-powered framework analyzing how color usage in advertisements carries different cultural meanings across East Asian and Western markets, scoring brand-color alignment.
构建 AI 驱动的分析框架,研究广告中色彩运用在东亚与西方市场的文化含义差异,量化品牌-色彩适配度。
Tangible outcomes that strengthen university applications
可直接用于大学申请的有力材料
Publishable academic paper with original methodology and findings
Deployed web application demonstrating technical capability
TinkerLab completion certificate endorsed by Harvard · Stanford · PKU · Tsinghua mentor team
具有独立方法论和研究发现的可发表学术论文
已部署的 Web 应用,展示技术落地能力
TinkerLab 结业证书,哈佛·斯坦福·北大·清华导师团联合签发
From zero to a complete AI-powered academic project
从零开始,完成一个完整的 AI 学术项目
Understand how AI works, define research questions, draft project proposals
Learn to build datasets, master AI prompting techniques, set up development tools
Build AI pipelines (LangChain/LangGraph), create evaluation frameworks, iterate on prototypes
Deploy interactive web interfaces (Gradio/HTML), conduct user testing, refine outputs
Write research paper, prepare portfolio materials, present at demo day
理解 AI 工作原理,确定研究方向,撰写项目提案
学习构建数据集,掌握 AI 提示词技术,搭建开发环境
搭建 AI 管道(LangChain/LangGraph),创建评估框架,迭代原型
部署交互界面(Gradio/HTML),进行用户测试,优化输出
撰写研究论文,准备作品集材料,参加 Demo Day 汇报
"The moment my son demonstrated his AI project at the family dinner table — analyzing ancient poetry with machine learning — I knew this program was different. It wasn't just a certificate. He built something real."— Parent of 2025 Cohort Student, admitted to Cornell University
"当儿子在家庭聚餐时展示他的 AI 项目——用机器学习分析古诗词——我知道这个项目和别的不一样。这不只是一张证书,他真的做出了东西。"— 2025 届学生家长,该生已录取康奈尔大学
Applications for 2026 Fall Cohort are now open. Spots are limited — reach out to learn more.
Contact us: hello@tinkerlab.com.cn
2026 秋季班现已开放申请,名额有限,欢迎咨询了解详情。
联系我们:hello@tinkerlab.com.cn