CV

Full CV can be found here.

Education

• King Abdullah University of Science and Technology
  • Ph.D. Candidate in Computer Science, Aug. 2023 - Present
  • Advisor: Prof. Di Wang
  • Topics: LLM post-training, coding and reasoning, agentic RL, adversarial robustness
• The University of Sydney
  • Master of Philosophy (Engineering and IT), Oct. 2019 - Jan. 2021
  • Advisor: Prof. Dacheng Tao
  • Thesis: “Bayesian Inference Forgetting”
• South China University of Technology
  • B.Sc. in Mathematics and Applied Mathematics, Sep. 2015 - Jun. 2019
  • Advisor: Prof. Chuhua Xian

Research & Industry Experience

• Microsoft Research Asia
  • Research Intern, General Artificial Intelligence (GenAI) Group, Jun. 2025 - Present
  • Mentor: Dr. Xingxing Zhang
  • Topics: LLM code generation for competitive programming and software engineering
• JD Explore Academy, JD.com, Inc.
  • Algorithm Engineer, Trustworthy AI Research Group, Mar. 2021 - Jul. 2022
  • Group Leader: Prof. Dacheng Tao
  • Worked on robustness and privacy evaluation for machine learning systems; published two first-author ICLR 2022 papers.

Skills

• Programming Languages: C/C++, Python, Golang
• Frameworks & Tools: PyTorch, JAX, vLLM, SGLang, Verl, Docker, Slurm, Linux, Vim