BACKGROUND

Experience & education

Research at the intersection of machine learning, communications, and networked systems.

Experience

Sep 2026 – Present
Coquitlam, Canada

Simon Fraser University

Postdoctoral Research Fellow

Jan 2026 – Apr 2026
Toronto, Canada

Vector Institute · Responsible AI Team

Applied Machine Learning Intern

Deepfake video detection and robust machine learning.

  • Developed training and validation pipelines for deepfake video detection.
  • Worked on robustness in real-world forgery scenarios.

Sep 2021 – Jun 2026
Vancouver, Canada

University of British Columbia

Graduate Research Assistant

Advisor: Prof. Vincent W.S. Wong

  • Resource-efficient federated fine-tuning through low-rank and zeroth-order optimization.
  • Adaptive split learning and graph-based resource allocation for decentralized learning.
  • Learning dynamics and emergent modularity in foundation models.

Education

Sep 2021 – Jun 2026
Vancouver, Canada

University of British Columbia

PhD in Electrical and Computer Engineering

Thesis: Resource-aware Distributed Edge Intelligence

Advisor: Prof. Vincent W.S. Wong

Aug 2018 – May 2020
Baltimore, USA

Johns Hopkins University

MS in Electrical and Computer Engineering

Sep 2014 – Jun 2018
Harbin, China

Harbin Institute of Technology

BEng in Electronics and Information Engineering

Advisors: Prof. Shuai Han and Prof. Hsiao-Hwa Chen

Awards

Skills

Programming & tools

Python, PyTorch, MATLAB, Linux, GitHub, Hugging Face, LaTeX

Methods

Distributed machine learning, mathematical optimization, resource allocation

Languages

English · Proficient
Mandarin Chinese · Native

IEEE Member