CV

Contact Information

Name Dang Nguyen
Professional Title CS Ph.D. Candidate at UCLA
Email nguyentuanhaidang@gmail.com

Experience

  • 2026 - 2026

    CA, USA

    Applied Scientist Intern
    Adobe
    • Supervisors: Shubham Lohiya, Sizhe Zhou, Dr. Anay Majee
    • Manager: Dr. Sajjadur Rahman
    • Topic: Configurable Safety and Governance for Autonomous Agentic Systems
    • Designed a runtime agent safety and governance system detecting intent–action mismatches, tool-result prompt injection, and dangerous cross-tool chains, achieving 99.3% recall / 96.2% precision on 1k+ production approval requests and cutting human approval prompts by 95.5%.
    • Built a synthetic adversarial dataset generation and evaluation framework to surface agent safety failure modes and enable systematic regression testing.
    • Integrated the system into Adobe Experience Platform for configurable runtime governance of autonomous enterprise agents.
  • 2024 - 2025

    CA, USA

    Student Researcher
    Google Research
    • Working on synthetic data generation for LLMs and data selection for LVLMs.
  • 2024 - 2024

    CA, USA

    PhD Research Intern
    Cisco Systems
    • Worked with Dr. Ali Payani on LLMs Hallucination.
  • 2020 - 2023

    Hanoi, Vietnam

    AI Research Resident
    VinAI
    • Worked with Prof. Nhat Ho on Optimal Transport and Model Merging.

Education

  • 2023 - Present

    Ph.D. in Computer Science
    University of California, Los Angeles
    Computer Science
    • Advised by Professor Baharan Mirzasoleiman
    • UCLA Graduate Dean’s Scholar Award
  • 2017 - 2021

    Tokyo, Japan

    B.S.
    Toyo University
    Information Networking for Innovation and Design
    • Summa Cum Laude
    • Top Thesis Award
    • Toyo Top Global Scholarship A

Honors and Awards

  • 2023
    UCLA Graduate Dean's Scholar Award
  • 2017
    Toyo Top Global Scholarship A
  • 2015
    Silver Medal, 56th International Mathematical Olympiad
  • 2015
    First Prize, Vietnam Mathematical Olympiad

Professional Services

  • Reviewer at NeurIPS (2022-2026), ICML (2023-2026), ICLR (2024-2026), AISTATS (2023-2025), AAAI (2025), AdvML@NeurIPS2024, SCSL@ICLR2025.