I am an interdisciplinary researcher exploring the theoretical and methodological intersections of Geographic Information Science, Computer Science, and Data Science. My research agenda focuses on advancing computational geographic paradigms that transcend traditional disciplinary boundaries to address complex spatial phenomena. 我是一名跨学科研究者，致力于探索地理信息科学、计算机科学与数据科学的理论与方法交叉。我的研究议程专注于发展超越传统学科界限的计算地理学范式，以解决复杂的空间现象。

Currently, I am pursuing a Master of Science in Geoinformatics Engineering at the Politecnico di Milano, Italy, with an expected graduation in 2026. Prior to this, I obtained a Bachelor degree in Geography from Chuzhou University, China, where I conducted research on spatial-temporal pattern mining of PM2.5 pollution using 3D GIS technology. 目前，我正在意大利米兰理工大学攻读地理信息工程硕士学位，预计2026年毕业。在此之前，我在中国滁州学院获得了地理学学士学位，期间我使用3D GIS技术进行了PM2.5污染时空模式挖掘研究。

My research focuses on integrating GIScience with data-driven approaches to address geospatial challenges in the era of AI and big data. I examine human-environment interactions through spatial analytics, developing computational methods that bridge theoretical knowledge with practical applications for urban planning and sustainable development. My professional experience includes environmental modeling at the Chinese Academy of Sciences, where I applied the SHUD model to study land use impacts on the Qinghai Lake watershed. 我的研究融合地理信息科学与数据驱动方法，应对人工智能和大数据时代的地理空间挑战。通过空间分析技术，我研究人类与环境的交互关系，开发创新计算方法将理论知识与实际应用相结合，为城市规划和可持续发展提供决策支持。我曾在中国科学院运用SHUD模型研究土地利用对青海湖流域的影响，积累了环境建模的专业经验。

I am looking for collaborators 我正在寻找合作伙伴 interested in GeoAI, Spatial Analysis, and their applications in urban science and environmental interactions. My goal is to develop tools and methodologies to empower researchers in exploring geospatial data science. If you are interested in collaborating, please feel free to reach out via email. 对地理人工智能、空间分析及其在城市科学和环境交互中的应用感兴趣的合作者。我的目标是开发工具和方法，帮助研究人员探索地理空间数据科学。如果您有兴趣合作，请随时通过电子邮件联系我。