Yifan Chen (Evan)陈奕帆

AI Data Science & Development · Intelligent Transport Systems · Trustworthy AIAI 数据科学与开发 · 智能交通系统 · 可信 AI

I am passionate about exploring the frontiers of AI and data science, dedicated to building reliable, intelligent AI solutions for real-world scenarios like transportation and sports.我热衷于探索人工智能与数据科学的前沿方向，致力于为交通和体育等真实场景构建可靠、智能的 AI 解决方案。

Trustworthy AI可信 AIGenAI for Transport生成式 AI 与交通Intelligent Transport System智能交通系统AI for Sports体育 AI
CV (EN)英文简历CV (ZH)中文简历GitHub
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About关于我

I am currently working as an AI Data Engineering Intern at KNQ, exploring how to build AI solutions for the sports domain. At the same time, I will soon be starting my PhD, where I will delve into the application of Large Language Models (LLMs) and Agentic AI in complex transportation systems. Previously, I earned my MSc in Transport and Data Science from Imperial College London, and a BSc in Applied Mathematics from Xi'an Jiaotong-Liverpool University.我目前在麒纪科技（KNQ）担任 AI 数据工程实习生，探索如何搭建体育方向的 AI 解决方案。同时也即将成为一名博士生，在博士阶段我将深入研究大语言模型（LLMs）与智能体（Agentic AI）在复杂交通系统中的应用。此前，我分别在帝国理工学院（Imperial College London）和西交利物浦大学获得了交通与数据科学硕士学位及数学与应用数学学士学位。

My core research interests include Trustworthy AI, GenAI for Transport, Intelligent Transport Systems (ITS), and AI for Sports. I have extensive experience transforming complex, real-world data—ranging from spatio-temporal trajectories to multimodal sports audio-visual and commentary data—into high-quality, evaluable data assets that power intelligent models.我的核心研究兴趣包括可信 AI (Trustworthy AI)、生成式 AI 与交通 (GenAI for Transport)、智能交通系统 (Intelligent Transport Systems) 以及体育 AI (AI for Sports)。我擅长处理复杂多源的现实数据——从时空轨迹到多模态体育音视频及解说语料数据，并拥有丰富的经验将它们转化为可训练、可评估的高质量数据资产。

Recently, my work has spanned several diverse applications. I have developed data pipelines for AI-driven sports clipping and automated commentary, engineered diffusion-based models for car-following trajectory prediction, and conducted large-scale GPS analytics for a World Bank logistics project. Across these domains, my goal is to bridge the gap between advanced machine learning and real-world decision-making.在近期的项目中，我参与了多个富有挑战性的落地工作，包括：搭建多体育场景下的 AI 剪辑与自动解说数据管线，设计基于扩散模型的车辆轨迹预测架构，以及为世界银行项目处理和分析千万级的大规模卡车 GPS 轨迹。在这些实践中，我始终致力于在先进的机器学习算法与现实业务决策之间搭建桥梁。

Education教育经历

Imperial College London帝国理工学院 (Imperial College London)

Sep 2024 — Nov 20252024 年 9 月 — 2025 年 11 月

MSc in Transport with Data Science — London, UK交通与数据科学 硕士 — 英国 · 伦敦

  • GPA 3.7 / 4.0 · Merit.
  • Core: Statistical Modelling (A), Machine Learning (A*), Data Engineering, Intelligent & Autonomous Transport, Sustainable Transport, Optimisation and Routing Algorithms.
  • Dissertation: Personalised Car-following Modelling using Diffusion-based Model.
  • GPA 3.7 / 4.0 · Merit.
  • 核心课程:统计建模 (A)、机器学习 (A*)、数据工程、智能与自动交通系统、可持续运输、优化与路径算法.
  • 毕业论文:基于扩散模型的个性化跟车建模.

Xi'an Jiaotong-Liverpool University西交利物浦大学

Sep 2020 — Aug 20242020 年 9 月 — 2024 年 8 月

BSc in Applied Mathematics — Suzhou, China数学与应用数学 本科 — 中国 · 苏州

  • GPA 3.79 / 4.0 · First-Class Degree with Honours.
  • Core: Probability & Statistics, Analysis, Linear Algebra, Dynamic Modelling, ODE/PDE, Topology, Functional Analysis, Convex Optimisation, Java.
  • FYP: A Topological Method in Music Recognition Algorithms (First-Class).
  • GPA 3.79 / 4.0 · First-Class Honours(一等荣誉学位).
  • 核心课程:概率统计、分析、线性代数、动态建模、离散数学、常微分方程、偏微分方程、拓扑、泛函分析、凸优化、Java.
  • 毕业论文:音乐识别算法中的拓扑方法(一等).

Skills技能

Programming:编程与建模:Python, PyTorch, scikit-learn, NumPy, Pandas, R, MATLAB, SQL, Java, LaTeXPython, PyTorch, scikit-learn, NumPy, Pandas, R, MATLAB, SQL, Java, LaTeX
Data & Databases:数据与数据库:PostgreSQL, SQLite, Data Cleaning, Data Engineering, Spatio-temporal Analysis, Feature EngineeringPostgreSQL, SQLite, 数据清洗, 数据工程, 时空数据分析, 特征工程
AI & Modelling:AI 方法:Prompt Engineering, Diffusion Models, Transformers, XGBoost, Random Forest, SHAPPrompt Engineering, 扩散模型, Transformer, XGBoost, Random Forest, SHAP
Evaluation & Tools:评估与工具链:ASR / TTS Evaluation, Linux, Git, Docker, Conda, Claude Code, CodexASR / TTS 评估, Linux, Git, Docker, Conda, Claude Code, Codex
Languages:语言:English (Professional), Mandarin Chinese (Native)英语 (专业工作级), 普通话 (母语)

Get in touch联系我

I am always open to discussing new opportunities, collaborations, or research ideas related to Trustworthy AI, Intelligent Transport Systems, and Sports AI. Feel free to reach out!我对可信 AI、智能交通以及体育 AI 领域的研究、产品与岗位机会充满热情。非常欢迎交流合作或探讨新的想法，随时联系我！

yifanchen0726@gmail.com