我们是一群执着的热血青年。
We are a passionate collective of driven young minds.
我们来自五湖四海，我们相隔太平洋与大西洋。
From distant corners of the world
— across the Pacific, beyond the Atlantic— we have come together.
我们希望推进先进技术在传统城市规划和设计学科的应用。
We strive to bring cutting-edge technologies into the heart of traditional
urban planning and design.
我们关心城市危机，并倡议做负责任的研究和实践。
We are deeply concerned about urban crises and advocate for research
and practice that is bold, ethical, and accountable.
我们喜欢提出问题，更喜欢解决问题。
We are not just questioners — we are problem-solvers.
我们喜欢挑战传统，更喜欢不断突破自我。
We challenge convention, and even more, we challenge ourselves.
我们热爱研究，更热爱分享！
We are devoted to research — and even more, to sharing what we learn!
We are a passionate collective of driven young minds.
我们来自五湖四海，我们相隔太平洋与大西洋。
From distant corners of the world
— across the Pacific, beyond the Atlantic— we have come together.
我们希望推进先进技术在传统城市规划和设计学科的应用。
We strive to bring cutting-edge technologies into the heart of traditional
urban planning and design.
我们关心城市危机，并倡议做负责任的研究和实践。
We are deeply concerned about urban crises and advocate for research
and practice that is bold, ethical, and accountable.
我们喜欢提出问题，更喜欢解决问题。
We are not just questioners — we are problem-solvers.
我们喜欢挑战传统，更喜欢不断突破自我。
We challenge convention, and even more, we challenge ourselves.
我们热爱研究，更热爱分享！
We are devoted to research — and even more, to sharing what we learn!
Houpu Li
前哈佛大学ViBELab研究员
前康奈尔大学研究/教学助理
现UCSB城市数据研究实验室研究助理
former Research Associate at ViBELab, Harvard University
former Research/Teaching Assistant at Cornell University
Currently Research Assistant at the Urban Data Research Lab, (UCSB)
UCSB地理科学博士在读， 城市数据科学与人工智能方向。康奈尔大学区域科学硕士，建筑学本科及硕士。
擅长领域： 机器学习 · 深度学习 · 强化学习 · 城市数据科学 · 交通预测 · 图像识别
Houpu worked as a researcher at Harvard's ViBELab, starting his Ph.D. in Geography at UCSB (Fall 2025) with a focus on Urban Data Science & AI. He holds a Master of Regional Science (Cornell) and dual degrees in Architecture (B.Arch & M.Arch, China).
Expertise:
Machine Learning · Deep Learning · Reinforcement Learning · Urban Data Science · Transportation Prediction · Computer Vision · Remote Sensing.
Wenzheng Li
前康奈尔大学讲师
现英属哥伦比亚博士后
康奈尔大学博士
Postdoctoral Research Fellow at the University of British Columbia
Former Lecturer at Cornell University
Ph.D. in city and regional planning from Cornell University
康奈尔大学博士，国土空间规划与城市数据科学。康奈尔大学城市规划硕士，中国地质大学地理信息系统本科。
擅长领域：区域与国土空间规划 · 多中心识别与城市结构演化 · 热岛效应分析 ·空间大数据 · GIS建模 · 大语言模型与实证研究
Wenzhen recieved his PhD (Urban Simulation & Dynamic Sensing), and MUP in Urban Planning from Cornell University.
He received his bachelor's degree in Geographic Information Systems from China University of Geosciences.
Expertise:
Regional Planning · Urban Structure & Heat Islands · Remote Sensing–GIS Modeling · LLMs in Urban Research
Yudong Sun
斯坦福大学博士后（2026）
现环境科学研究助理
麻省理工博士
Postdoctoral Research Fellow at Stanford University (2026)
Research Assistant in Environmental Science
Ph.D. at the Massachusetts Institute of Technology (MIT)
擅长领域：数据建模 · 遥感测绘 · 地震与板块动力模拟 · 能源地质 ·空间数据分析 · 计算机模拟
Ph.D. in Geophysics at MIT, focusing on seismic simulation, glacier dynamics, and energy exploration.
B.S. and M.S. in Earth and Space Sciences from the University of Science and Technology of China (USTC).
Expertise:
Data Modeling · Remote Sensing & Mapping · Seismic & Tectonic Simulation · Energy Geology · Spatial Data Analysis · Computational Modeling
Guangyin Jin
AI算法研究员
清华大学电子工程系访问博士
AI Algorithm Researcher
Visiting Ph.D. at Tsinghua University
从事智能城市计算、计算社会科学以及面向时空大数据的深度学习方法研究，目前已发表SCI/EI论文40余篇，连续多年担任国际人工智促进会（AAAI）的程序委员和高级委员。2025年获得由美国国家人工智能科学院（NAAI）认证的高级研究员资质。
擅长领域：深度学习，时空图神经网络，城市计算，交通大数据，计算社会科学。
Specializes in intelligent urban computing, computational social science, and deep learning for spatiotemporal big data.
Author of 40+ SCI/EI-indexed papers, with long-term service as a Program and Senior Committee Member of AAAI.
Recognized in 2025 as a Senior Research Fellow by the National Academy of Artificial Intelligence (NAAI), USA.
Expertise:
Deep Learning · Spatiotemporal Graph Neural Networks · Urban Computing · Transportation Big Data · Computational Social Science.
擅长领域：深度学习，时空图神经网络，城市计算，交通大数据，计算社会科学。
Specializes in intelligent urban computing, computational social science, and deep learning for spatiotemporal big data.
Author of 40+ SCI/EI-indexed papers, with long-term service as a Program and Senior Committee Member of AAAI.
Recognized in 2025 as a Senior Research Fellow by the National Academy of Artificial Intelligence (NAAI), USA.
Expertise:
Deep Learning · Spatiotemporal Graph Neural Networks · Urban Computing · Transportation Big Data · Computational Social Science.
Jinghong Yu
AI算法研究助理
康奈尔大学博士在读
AI Algorithm Research Assistant
PhD Candidate of Cornell University
擅长领域： 深度学习 · 计算机视觉 · 城市图像识别 · 集群计算 · 自动化数据采集 · 决策驱动设计 · 交互式Web开发。
Jinghong is currently pursuing his PhD at Cornell University focusing on Computer Vision Recognition & Dynamic Control Systems research. Jinghong recieved his MS in Electric Computer Engineering from Cornell University before he stared his PhD there.
Expertise:
Deep Learning · Computer Vision · Urban Image Recognition · Cluster Computing · Automated Data Collection · Decision-Driven Design · Interactive Web Development.
Zhenyu Liang
城市数据分析、AI算法研究助理
香港科技大学博士在读
Urban Data Research Assistant
PhD Candidate of The Hong Kong University of Science and Technology
城市数字孪生与机器人协同的设施运维研究方向。华南理工大学本科。
擅长领域： 数字孪生、建筑信息模型、精细化三维重建、机器人规划、无人机系统、优化调度、多模态大模型、计算机视觉、语义分割。
Zhenyu is currently pursuing his PhD at the Hong Kong University of Science and Technology focusing on urban digital twins and robot-assisted facility management. He received his BEng in Civil Engineering from South China University of Technology.
Expertise:
Digital Twins, Building Information Modeling, High-Fidelity 3D Reconstruction, Robot Planning, UAV Systems, Optimization and Scheduling, Multimodal Large Language Models, Computer Vision, Semantic Segmentation.
擅长领域： 数字孪生、建筑信息模型、精细化三维重建、机器人规划、无人机系统、优化调度、多模态大模型、计算机视觉、语义分割。
Zhenyu is currently pursuing his PhD at the Hong Kong University of Science and Technology focusing on urban digital twins and robot-assisted facility management. He received his BEng in Civil Engineering from South China University of Technology.
Expertise:
Digital Twins, Building Information Modeling, High-Fidelity 3D Reconstruction, Robot Planning, UAV Systems, Optimization and Scheduling, Multimodal Large Language Models, Computer Vision, Semantic Segmentation.
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Zijun Li
前Sanborn GIS项目工程师
UCSB地理科学博士在读
Former GIS Project Engineer at Sanborn
Ph.D. Student at UCSB
在美国工作期间的研究和实践项目涵盖使用GIS平台分析研究美国产业、加州州级数据库及美国地质调查局（USGS）测绘工作。拥有密歇根大学安娜堡分校环境信息学硕士学位，以及华南师范大学地理信息科学学士学位。
擅长领域： 空间分析与建模 · GIS 与遥感 · 机器学习 · 人文地理 · 环境可持续发展。
During Zijun’s work and research in the United States, Zijun has participated in projects involving GIS-based analysis of U.S. industries, the California State-wide Database, and USGS mapping. She holds an M.S. in Environmental Informatics from the University of Michigan, Ann Arbor, and a B.S. in Geospatial Science from South China Normal University.
Expertise:
Spatial Analysis & Modeling · GIS & Remote Sensing · Machine Learning · Human Geography · Environmental Sustainability
擅长领域： 空间分析与建模 · GIS 与遥感 · 机器学习 · 人文地理 · 环境可持续发展。
During Zijun’s work and research in the United States, Zijun has participated in projects involving GIS-based analysis of U.S. industries, the California State-wide Database, and USGS mapping. She holds an M.S. in Environmental Informatics from the University of Michigan, Ann Arbor, and a B.S. in Geospatial Science from South China Normal University.
Expertise:
Spatial Analysis & Modeling · GIS & Remote Sensing · Machine Learning · Human Geography · Environmental Sustainability
Weibo Mi
数据驱动的城市研究助理
米兰理工大学博士在读
Data-Driven Urban Research Assistant
PhD Student of Politecnico Di Milano
跨国基础设施引导型发展与物流领土研究方向。米兰理工大学建筑设计与城市设计硕士，东北大学建筑学本科。
擅长领域： 空间句法 · GIS数据分析 ·基础设施转向 · 物流领土 · 空间治理 · 城市化理论。
Weibo is currently pursuing his PhD at Politecnico Di Milano with his research focus on Infrastructure-led Development & Logistics Territory. He received his Master’s degree in Architecture and Urban Design from Politecnico Di Milano and BEng in Architecture from Northeastern University.
Expertise:
Space Syntax. GIS Data Analytics ·Infrastructure-led Development · Logistics Territory · Spatial Governance · Urbanization Theory · Architecture & Urban Design Practice.
擅长领域： 空间句法 · GIS数据分析 ·基础设施转向 · 物流领土 · 空间治理 · 城市化理论。
Weibo is currently pursuing his PhD at Politecnico Di Milano with his research focus on Infrastructure-led Development & Logistics Territory. He received his Master’s degree in Architecture and Urban Design from Politecnico Di Milano and BEng in Architecture from Northeastern University.
Expertise:
Space Syntax. GIS Data Analytics ·Infrastructure-led Development · Logistics Territory · Spatial Governance · Urbanization Theory · Architecture & Urban Design Practice.
Lulu Liu
H-GAC 数据科学家
交通算法模型师
交通算法模型师
Data Scientist
Transportation Modeler
现任休斯顿-加尔维斯顿地区委员会（H-GAC）数据科学家与交通模型师。曾在美国能源部劳伦斯伯克利国家实验室（LBNL）从事交通大数据建模研究，并在CALSTART参与全球零排放商用车数据库建设。本科毕业于浙江大学，于2024年获得加州大学伯克利分校硕士学位。
擅长领域： 交通建模 · 数据科学 · 城市分析 · 机器学习 · 地理信息系统（GIS） · 空间可视化 · 可持续交通规划
Lulu Liu is a Data Scientist and Transportation Modeler at the Houston-Galveston Area Council (H-GAC). She previously worked at Lawrence Berkeley National Laboratory (LBNL) on intelligent transportation research and at CALSTART on global zero-emission vehicle data validation.
Expertise:
Transportation Modeling · Data Science · Urban Analytics · Machine Learning · GIS · Spatial Visualization · Sustainable Mobility
擅长领域： 交通建模 · 数据科学 · 城市分析 · 机器学习 · 地理信息系统（GIS） · 空间可视化 · 可持续交通规划
Lulu Liu is a Data Scientist and Transportation Modeler at the Houston-Galveston Area Council (H-GAC). She previously worked at Lawrence Berkeley National Laboratory (LBNL) on intelligent transportation research and at CALSTART on global zero-emission vehicle data validation.
Expertise:
Transportation Modeling · Data Science · Urban Analytics · Machine Learning · GIS · Spatial Visualization · Sustainable Mobility
Shiyun Wen
软件开发工程师
德州农工硕士
Software Engineer
MLA from Texas A&M University
拥有6年软件开发及数据分析工作经验。曾在unity等知名游戏公司担任软件开发师。 Texas A&M University MLA在读，华东师范大学计算机科学—数据工程本科。研究方向聚焦于多源数据融合与智能建模，通过机器学习与数字孪生技术探索城市环境、空间系统与人机交互的动态关联，实现从数据采集、分析、预测到可视化交互的一体化智能框架。
擅长领域：数据获取与处理、自然语言处理（NLP）、城市数据科学、机器学习、数字孪生系统以及XR（扩展现实）开发。
Shiyun Wen has worked as a software developer at Unity China and other leading game studios. She is currently pursuing her MLA degree at Texas A&M University, with a background in Computer Science and Data Engineering from East China Normal University.
Expertise:
data acquisition and processing, natural language processing (NLP), urban data science, machine learning, digital twin systems,and XR (Extended Reality) development.
Yang Zhou
AI算法研究助理
佛罗里达硕士
佛罗里达硕士
AI Algorithm Assistant Researcher
M.S. from University of Florida
佛罗里达大学计算机科学硕士,现研究方向聚焦于深度学习在异常检测与药物发掘中的应用，探索如何利用无监督学习方法挖掘高维生物数据中的潜在结构与异常模式，以辅助新药研发与生物机制解析。本科毕业于南京工业大学计算机科学与技术专业。
擅长领域： 深度学习、无监督异常检测、蛋白质分析与相似度比对，大模型的垂直领域微调。
Yang’s current research interests is about anomaly detection and drug discovery. Bachelor’s degree in Computer Science and Technology.
Expertise:
deep learning, unsupervised anomaly detection, protein analysis and similarity alignment, and domain-specific fine-tuning of large models.
Ex
Yanyao Cui
数据驱动的城市设计师
UC Berkeley硕士
Data-driven Urban Designer
M.L.A. from University of California, Berkeley
现任职于美国知名景观设计事务所。拥有6年以上中国及美国设计实践经验，曾就职于UPDIS及ARUP担任城市设计师。获得加州伯克利，景观建筑硕士和谢菲尔德城市设计硕士，环境艺术设计本科。2025年获得2项美国景观建筑基金会奖学金及2025MIG 毕业设计奖。
擅长领域：热岛效应分析 · 遥感数据及GIS数据分析，EnviMet环境温度模拟模型，儿童友好空间营造。
Yanyao has 6+ years design experience worked for UPDIS & Arup as Urban Designer.
Yanyao recieved her Master of Landscape Architecture from UC Berkeley, and Master's in Urban Design from University of Sheffield.Yanyao received two scholarships from the Landscape Architecture Foundation and the 2025 MIG thesis Award.
Expertise:
Urban Heat Island Analysis · Remote Sensing and GIS Data Analytics · Temperature simulation model by EnviMet · Child-centered cooling strategies.
Shanshan Bai
数据驱动的生态景观研究员
宾西法尼亚大学硕士
Data-driven Ecological landscape Researcher
MLA from University of Pennsylvania
数据驱动的生态景观研究员
宾西法尼亚大学硕士
Data-driven Ecological landscape Researcher
MLA from University of Pennsylvania
现任纽约Harrison Atelier 研究员，
拥有6年中美公共景观与城市设计经验
，主持项目多次获 ASLA、WLA 等国际设计大奖
。本科毕业于同济大学建筑系；宾夕法尼亚大学景观硕士；美国东北大学计算机硕士（2026）。
擅长领域： 数字化生态模拟，全栈系统构建，城市公共空间设计，低干预乡野景观设计。
Shanshan is a researcher at Harrison Atelier, with 6 years of landscape and urban design experience in China and the U.S. She has led ASLA- and WLA-winning projects and holds degrees from Tongji University and the University of Pennsylvania, and is going to pursue an M.S. in Computer Science from Northeastern University forthcoming in 2026.
Expertise:
Urban public space design, campus design, courtyard design, low-intervention rural landscapes, digital ecological simulation, full-stack system development.
擅长领域： 数字化生态模拟，全栈系统构建，城市公共空间设计，低干预乡野景观设计。
Shanshan is a researcher at Harrison Atelier, with 6 years of landscape and urban design experience in China and the U.S. She has led ASLA- and WLA-winning projects and holds degrees from Tongji University and the University of Pennsylvania, and is going to pursue an M.S. in Computer Science from Northeastern University forthcoming in 2026.
Expertise:
Urban public space design, campus design, courtyard design, low-intervention rural landscapes, digital ecological simulation, full-stack system development.
Iven Sheng
Critical Broadcasting Lab研究助理
麻省理工智慧建筑硕士
麻省理工智慧建筑硕士
Research Assistant at the Critical
Broadcasting Lab
MIT SMArchS in Urbanism (Candidate)
本科获得建筑学与音乐史文化学士双学位，同时以专业最高荣誉毕业。荣获超过 10 项大奖，包括 eVolo 设计竞赛荣誉奖、《Home 2124》竞赛一等奖、NOMA 学生设计竞赛全国冠军等。
擅长领域： 空间与感知研究 · 建筑叙事及城市空间批判 · 跨文化设计 · 竞赛策略。
Iven holds a Bachelor’s degree in Architecture and Music History & Culture, graduating with highest honors. Yifan has received over ten prestigious awards, including recognition from eVolo, Home 2124, and the NOMA Student Design Competition.
Expertise: