CV

Curriculum vitae.

Contact Information

Name Zeyi Chen
Professional Title Researcher - Multi-Agent Systems & RL
Email zeyic@andrew.cmu.edu
Location Pittsburgh, Pennsylvania

Professional Summary

Passionate about multi-agent systems, LLM-based agent coordination, and reinforcement learning for emergent social behaviors. Bridging AI research with practical applications.

Experience

  • 2025 - 2026

    Shanghai, China

    Research Assistant
    Shanghai Innovation Institute
    Contributing to the development of Holos, a web-scale LLM-based multi-agent system for the agentic web.
    • Implemented and evaluated agent coordination and system reliability modules
    • Designed and conducted case studies on representative multi-agent task scenarios
    • Analyzed system behavior and performance in complex agent interactions
    • Advisor: Prof. Weinan Zhang (wnzhang.net)
  • 2024 - 2026

    Shanghai, China

    Research Assistant
    SJTU Global College
    Research on deep reinforcement learning and emergent behaviors in mixed autonomy systems.
    • Deep RL for Network Control: Designed and implemented PPO-based ramp metering controller for high-speed traffic networks
    • Mixed Autonomy Study: Proposed opinion-dynamics-driven interaction model for emergent driving behaviors in human-autonomous hybrid systems
    • First-authored manuscript under review at IEEE Transactions on Intelligent Transportation Systems (T-ITS)
    • Advisor: Prof. Li Jin (jinli.ji.sjtu.edu.cn)

Research Interests & Availability

Education

  • 2023 - 2027

    Shanghai, China

    B.S.
    Shanghai Jiao Tong University
    Electrical and Computer Engineering
    • GPA: 3.88/4.0 (Top 2%, Ranking: 4/262)
    • Academic Excellence Scholarship Recipient
  • 2026 - 2026

    Pittsburgh, PA, USA

    Exchange Student
    Carnegie Mellon University
    Electrical and Computer Engineering

Teaching and Mentoring

Awards

  • 2023
    The John Wu and Jane Sun Excellence Scholarship
    Shanghai Jiao Tong University

    Highest honor at UM-SJTU Joint Institute

  • 2024
    National Scholarship
    Ministry of Education, China

    Awarded for outstanding academic performance

  • 2025
    Honorable Mention, Mathematical Contest in Modeling (MCM/ICM)
    SIAM / COMAP

    International mathematics modeling competition

  • 2024
    Second Prize, AI for Science Hackathon
    Shanghai Innovation Institute

    Ranked among top teams for AI applications in scientific research

Publications

  • 2026
    Evolution of Social Driving Behavior in Mixed Autonomy - An Opinion Dynamics Approach
    IEEE Transactions on Intelligent Transportation Systems

    Under review. Proposes opinion-dynamics model for emergent behaviors in human-autonomous mixed traffic systems.

  • 2026
    Holos - A Web-Scale LLM-Based Multi-Agent System for the Agentic Web
    arXiv

    Describes architecture and implementation of web-scale multi-agent system coordinated through LLMs.

Skills

Machine Learning & AI (Advanced): Reinforcement Learning, Multi-Agent Systems, LLM Agents, Deep Learning, Neural Networks
Programming Languages (Advanced): Python, C++, JavaScript/TypeScript, MATLAB, Java
Research Areas (Advanced): Multi-Agent Reinforcement Learning, Agent Coordination, Emergent Behaviors, Traffic Systems, Opinion Dynamics
Tools & Frameworks (Advanced): PyTorch, TensorFlow, ROS, Git, Docker, Jupyter

Languages

Chinese (Mandarin) : Native speaker
English : Fluent (TOEFL score available upon request)