01 数据工程 · 时空分析 · AI 应用 DATA ENGINEERING · GEOSPATIAL ANALYTICS · APPLIED AI

倪李琨 Likun Ni

用可靠的数据流程组织复杂信息,
用空间分析理解真实世界。

Building reliable data pipelines
and intelligent geospatial systems.

数据科学 · 新加坡国立大学 Data Science · National University of Singapore

03 篇代表成果 Selected publications
03 种语言能力 Working languages
PY · SQL · GIS 核心技术栈 Core toolkit
02

关于我Profile

从数据流到真实世界From data flows to real-world insight

具备数据开发、时空数据分析与 AI Agent 研发经验,熟悉 Python、SQL 及 GIS 技术栈,能够完成 ETL、数据清洗、特征工程、空间分析与智能体开发,关注数据流程的工程化与自动化落地。

Data Science graduate with research and industry experience in data engineering, geospatial analytics, and LLM-enabled applications. Experienced in building ETL pipelines, processing spatiotemporal data, and developing intelligent data solutions using Python, SQL, and GIS.

求职方向Focus 数据开发 / 大数据开发 / 数据分析 / GIS 数据工程 Data Engineering / Analytics / Geospatial Data / Applied AI

教育背景Education

新加坡国立大学National University of Singapore

数据科学与可持续发展 · 硕士M.Sc. in Data Science for Sustainability

南方科技大学Southern University of Science and Technology

统计学 · 学士B.S. in Statistics

优秀本科毕业论文:基于机器学习的科学合作网络社区结构探测 Outstanding thesis: Machine Learning-Based Community Detection in Scientific Collaboration Networks
03

工作经历Experience

数据工程与空间智能实践Data engineering in geospatial contexts

2025.07 — 2026.03

行业实践Industry

LocationMind Inc.

日本东京 · 开发部实习生Tokyo, Japan · Development Department Intern

LM / 01
  • 设计自动化 ETL 流程,完成多维地理数据接入、清洗、特征处理与分析报告生成。
  • 集成城市、社会经济与基础设施数据,开展商业 POI 选址画像的特征工程与空间分析。
  • 完成预测性移动算法与空间分析模型的基准测试,为产品技术架构选型提供依据。
  • 评估多模态大模型融合卫星影像与结构化地理上下文后的空间推理能力。
  • Designed automated ETL pipelines for multidimensional geographic data ingestion, feature processing, and analytical reporting.
  • Integrated urban, socioeconomic, and infrastructure data for feature engineering of commercial POI location profiles.
  • Benchmark-tested predictive mobility algorithms and spatial analytics models to inform product architecture decisions.
  • Evaluated Large Multimodal Models on spatial reasoning tasks using satellite imagery and structured geographic context.
2025.02 — 2025.08

合作研究Collaborative research

东京大学 信息技术中心Information Technology Center, The University of Tokyo

合作研究助理 · 导师:Prof. Hiroki Hill KobayashiCollaborative Research Assistant · Advisor: Prof. Hiroki Hill Kobayashi

UT / 02
  • 构建基于空间连接的地理 ETL 管道,将高密度 GPS 轨迹坐标匹配至行政区划。
  • 开发时空特征提取模块,从小时级移动数据中提取长期地理偏好与行为趋势。
  • 集成 GIS 距离计算工具,校验空间约束与移动序列的物理合理性。
  • 基于大模型开发支持 Tool Calling 的 AI Agent,调用轨迹数据并生成个体移动模式。
  • Engineered geospatial ETL pipelines using spatial joins to map high-density GPS trajectories into administrative boundaries.
  • Developed spatiotemporal feature modules to derive long-term geographical preferences from hourly movement data.
  • Integrated GIS distance tools to verify spatial constraints and the physical plausibility of mobility sequences.
  • Applied tool-calling LLM agent architectures to retrieve trajectory data and generate individual mobility patterns.
2025.09 — 2025.12

教学Teaching

决策分析(MIS204)Prescriptive Decision Analytics (MIS204)

课程助教 · 授课教师:Asst. Prof. Liyi GuTeaching Assistant · Instructor: Asst. Prof. Liyi Gu

TA / 03
  • 辅导学生掌握定量建模、线性规划、网络优化与决策分析方法。
  • Mentored students in quantitative modeling, linear programming, network optimization, and decision analysis.
  • Held weekly tutoring sessions and problem-solving labs for mathematical and operations research concepts.
04

科研经历Research

网络、实体与知识结构Networks, entities, and knowledge structures

SUSTech

概念嵌入与作者网络分析Concept Embedding and Author Network Analysis

导师:Advisor: Asst. Prof. Yifang Ma

  • 开发基于 Word2Vec 的概念嵌入方法,构建学术概念向量表示。
  • 构建作者关系网络,结合 NetworkX 分析作者属性和学术影响力之间的关联。
  • Developed Word2Vec-based concept embedding methods to represent academic concepts as vectors.
  • Built author networks with NetworkX to analyze relationships between author attributes and academic impact.
PythonWord2VecNetworkX
HKU

基于大模型的实体抽取与协作网络构建LLM-Based Entity Extraction and Collaboration Network Construction

导师:Advisor: Asst. Prof. Shihui Feng

  • 应用大模型从新冠相关新闻中抽取实体与关系,构建结构化数据处理流程。
  • 构建组织级协作网络并优化数据处理流程,为合作关系分析提供数据基础。
  • Applied LLMs to extract entities and relationships from COVID-19-related news.
  • Constructed organization-level collaboration networks and optimized data processing workflows.
LLMEntity ExtractionNetwork Analysis
05

代表成果Publications

大模型智能体与数据应用LLM agents and data applications

  1. 01

    Towards Efficient and Evidence-Grounded Mobility Prediction with LLM-Driven Agent

    Chen L., Zhao Q., Li Z., Li M., Ni L., et al.

    arXiv · 2026
  2. 02

    MACA-PA: A Modular Agent-Based Clinical Assistant for Perioperative Anesthesia

    Jiang Y., Ma C., Xu Z., Mu D., Ni L., et al.

    HIDA · ACM · 2026
  3. 03

    CAKE: Clinical Trial-Oriented Agent for Knowledge Extraction from Health Records

    Jiang Y., Ma C., Ni L., Xu Z., et al.

    上海交通大学跨学科研究生学术论坛 · 2025SJTU Interdisciplinary Graduate Academic Symposium · 2025
06

专业技能Capabilities

数据、空间与智能应用Data, space, and intelligent systems

01

编程语言Programming

Python · SQL · R · Java

Pandas · NumPy · NetworkX
02

数据工程Data engineering

ETL · 数据接入 · 数据清洗Ingestion · Cleaning

特征工程 · 时空数据 · 轨迹数据Feature · Spatiotemporal · Trajectory
03

GIS 与分析GIS & analytics

QGIS · Gephi · GIS

空间连接 · 空间分析 · 网络分析Spatial Join · Spatial · Network Analysis
04

人工智能Artificial intelligence

PyTorch · LLM · AI Agent

Tool Calling · LMM
05

开发工具Development

Git · Linux · LaTeX

数据流程工程化与自动化Engineering & automation
06

语言能力Languages

中文 · 英语 · 日语Chinese · English · Japanese

IELTS 6.5 · JLPT N1

荣誉奖项Honors

2023
全国大学生数学建模大赛Contemporary Undergraduate Mathematical Contest in Modeling省三等奖Provincial Third Prize
全国大学生统计建模大赛National College Student Statistical Modeling Competition省三等奖Provincial Third Prize
美国大学生数学建模大赛Mathematical Contest in ModelingS 奖Successful Participant

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