Research
Featured Projects
Semantically Grounded Unsupervised Skill Discovery via Vision-Language Models
Project exploring how vision-language model priors can guide unsupervised skill discovery toward interpretable, reusable behaviors with stronger downstream transfer.
View project →Breaking the Curse: Is Few-Shot Semi-Supervised Learning the Answer to Multilingual Neural Machine Translation?
Research proposal from my second-year of undergraduate studies, exploring a new approach to Multilingual Neural Machine Translation inspired by a fusion of two existing frameworks.
View project →Last updated: July 5, 2026