Curriculum Vitae

Conduct research on vision-language models and LLM reasoning, with a focus on automated data pipelines, benchmark construction, robust multimodal reasoning, and empirical model evaluation. Develop curricula, teaching materials, and examinations for artificial intelligence courses.

Developed a counterfactual training framework for robust visual question answering using contrastive and gradient-discrepancy regularization within a curriculum learning strategy.

High-Quality Program. GPA: 3.83/4.0. Dean's List for five semesters.