Experience

Worked on the end-to-end development of an intent classification model for Microsoft 365 Copilot, with a focus on efficient inference.

Research on efficient chain-of-thought reasoning, test-time scaling and search methods for LLM reasoning, and limitations of latent reasoning methods.

Research on trustworthy AI, deep learning theory, and reasoning in large language models. Supervised by Prof. Jiliang Tang and Prof. Yue Xing.

Research on copyright protection of image data against plagiarism by generative AI models.

Ph.D. in Computer Science and Engineering. Advisors: Prof. Jiliang Tang and Prof. Yue Xing.

B.Sc. (Honors) in Mathematics and Statistics.