CV

Education, research experience, publications, and technical background.

Contact Information

Name Ang Qi
Professional Title Applied and Computational Mathematics · USC
Email angqi@usc.edu
Location Los Angeles, California

Professional Summary

Undergraduate researcher studying vision-language model robustness, visual reasoning, and targeted model repair.

Experience

  • 2025 - present

    Hybrid

    Research Assistant
    Physical Superintelligence Lab, University of Southern California
    • Researched vision-language model robustness and reliability through failure analysis and targeted post-training.
    • Developed pipelines to generate, filter, and evaluate multimodal data across visual reasoning tasks.
    • Analyzed failures in object recognition, attributes, spatial relationships, counting, and negation.
    • Applied large vision-language models and parameter-efficient fine-tuning to investigate targeted model repair and generalization.
    • Contributed to ongoing research on vision-language model robustness, with results being prepared for workshop submission.
  • 2023 - 2023

    Beijing, China

    Research Assistant
    Laboratory of Microfabrication, Institute of Physics, Chinese Academy of Sciences
    • Assisted with microelectronic substrate fabrication for terahertz communication devices using lift-off processes.
    • Operated mask aligners, ICPCVD systems, and electron-beam evaporation tools.
    • Supported ultra-low-temperature experiments and quantum transport measurements.

Education

  • 2024 - 2027

    Los Angeles, CA, U.S.

    Bachelor of Science
    University of Southern California
    Applied and Computational Mathematics
    • Expected graduation: May 2027
    • Minor: Computer Science
    • GPA: 3.76/4.00.
  • 2021 - 2024

    Beijing, China

    High School
    Beijing Royal School
    • Unweighted GPA: 4.19/4.33 (Top 3%)
    • Weighted GPA: 4.74/5.0 (Top 3%)

Publications

  • 2026
    Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models
    IROS 2026 AI Meets Autonomy Workshop

    Yanru Wu, Weiduo Yuan, Ang Qi, Vitor Guizilini, Jiageng Mao, Yue Wang

  • 2026
    FuzzingRL: Reinforcement Fuzz-Testing for Revealing VLM Failures
    In Submission

    Jiajun Xu, Jiageng Mao, Ang Qi, Weiduo Yuan, Alexander Romanus, Helen Xia, Vitor Campagnolo Guizilini, Yue Wang

Selected Coursework

Mathematics: MATH-226: Calculus III; MATH-225: Linear Algebra and Linear Differential Equations; MATH-407: Probability Theory; MATH-432: Applied Combinatorics; MATH-408: Mathematical Statistics; MATH-430: Number Theory; MATH-458: Numerical Methods (Fall 2026); MATH-446: Data Science with Python (Fall 2026).
Computer Science: CSCI-103: Introduction to C++; CSCI-170: Discrete Methods in Computer Science; ITP-168: Introduction to MATLAB; CSCI-104: Data Structures; CSCI-270: Introduction to Algorithms and Theory of Computing; CSCI-360: Artificial Intelligence: Principles and Foundations; CSCI-467: Foundations of Machine Learning (Fall 2026); TAC-216: Applied Python (Fall 2026).

Skills

Programming Languages: C++, Python, Java, MATLAB, R
Frameworks & Libraries: PyTorch, NumPy
Tools & Methods: Git, Linux, LaTeX, PEFT/LoRA

Awards

  • 2026
    Academic Achievement Award
    University of Southern California

    Fall 2025 and Spring 2026.

  • 2024
    Outstanding Graduate
    Beijing Royal School

    Scholarship of 50,000 RMB.

  • 2022
    High Distinction
    Australian Science Olympiads Physics

Languages

Mandarin : Native
English : Proficient