Conference on Empirical Methods in Natural Language Processing · 2024
Cited
2
Resume (English only)
Research Experience
Previously a Research Engineer at Instadeep working on AI solutions for enterprise clients.
Education
PhD student in Computer Science and Engineering at the University of Washington, advised by Noah A. Smith and Yulia Tsvetkov.
Background
Research interests include Multilingual NLP, Model Efficiency, and Model Interpretability. In particular, his work focuses on designing methods to 1) develop resource-efficient multilingual models; 2) leverage model interpretability to improve model performance and demote spurious training data artefacts.