CV

A summary of my education, experience, and service. Click the PDF icon for the full CV.

Research Interest

  • My research focuses on efficient generative modeling, particularly diffusion and flow-based models. I aim to develop fundamental learning principles, efficient training methods, and novel architectures that improve the scalability and generation quality of these models while reducing their training and inference costs. A central goal of my research is to enable high-quality generation with minimal computational resources and fewer NFE.

Education

  • 2024 – Now
    Ph.D. in Computer Science
    Rutgers University, New Jersey, USA
    • Advisor: Distinguished Prof. Dimitris Metaxas
    • GPA: 4.0/4.0
  • 2018 – 2021
    Bachelor of Computer Science
    Monash University, Melbourne, Australia
    • GPA: 3.5/4.0

Work Experience

  • Jun – Sep 2026
    Research Intern
    Adobe Research
    • Developing perceiver transformers for pixel-space video diffusion.
  • Jun – Sep 2025
    Research Intern
    Apple Machine Learning Research (MLR)
    • Training image diffusion models efficiently in the DCT frequency domain.
  • 2024 – Now
    Graduate Assistant
    Rutgers University
    • Efficient generative models and world models.
  • 2022 – 2024
    Research Resident
    Qualcomm AI Research Vietnam (formerly VinAI Research)

Publications

  • Papers at CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI, and WACV. See the Publications page for the full list.

Honors and Awards

  • 2026
    • First Prize, Rizvi Research Excellence Award, Rutgers University
  • 2017
    • Second Prize, Vietnam Mathematical Olympiad (VMO)
  • 2016
    • Bronze Medal, Vietnam North Mathematical Olympiad
    • Third Prize, International Mathematics Tournament of Towns

Professional Service

  • Conference Reviewer: CVPR, ECCV, ICCV, NeurIPS, ICML, ICLR, AISTATS, BMVC

Skills

Languages English, Vietnamese
Programming Python, PyTorch

References

  • Prof. Dimitris Metaxas, Board of Governors and Distinguished Professor of Computer Science, Rutgers University
  • Dr. Anh Tran, Principal Researcher, Qualcomm AI Research