M.S. Data Science @ UW • Applied ML / NLP • Human-centered + interpretable systems
- Controllable language generation (style + attribution-guided modeling) for personalization and anonymity
- Robustness & fairness in real-world ML (distribution shift, evaluation, reliability)
- Human-centered NLP for accessible communication (AAC-focused language generation)
Applied ML • NLP • Graph ML • Retrieval & grounded generation • Robustness & Fairness • Human-centered AI
If you’re building research-heavy systems or shipping ML that survives the real world, I’d love to chat.

