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PhD student at CUHK-SZ. Currently interested in LLM safety.
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The Chinese University of Hong Kong
Data Scientist
June 29, 2026 – Present
rrm-cure-miracle-steps
October 9, 2025 – Present
Rubric Reward Model to reduce “miracle steps” and unfaithful CoT in math; SFT+PPO training and verified evaluation.
View ProjectDeRTa
June 18, 2024 – May 22, 2025
A novel approach to improve the safety of large language models, enabling them to transition effectively from unsafe to safe state.
View ProjectPerformanceBoost
August 29, 2023 – September 11, 2023
Study on data science project's PERFORMANCE pull request
View ProjectCipherChat
August 10, 2023 – October 9, 2025
A framework to evaluate the generalization capability of safety alignment for LLMs
View Projectawesome-llm-and-society
June 1, 2023 – November 3, 2023
Recent papers on (1) Psychology of LLMs; (2) Biases in LLMs.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in cutting-edge AI/ML research, particularly in LLM safety and evaluation. This aligns well with a research-oriented or advanced Data Scientist role. However, the projects are predominantly personal and academic, with limited evidence of collaborative or production-oriented work, which might impact cultural fit in a fast-paced industry setting. The single listed professional experience is current and lacks details, making it difficult to assess real-world team collaboration or project delivery experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insights.