2025: Published 'PrefPalette: Personalized Preference Modeling with Latent Attributes' for cognitively grounded preference learning.
2025: Published 'Spurious Rewards: Rethinking Training Signals in RLVR', showing performance gains with incorrect rewards.
2025: Published 'A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage'.
2025: Published 'ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning'.
2024: Published 'MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning'.
2024: Published 'ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions'.
Presented MediQ at NeurIPS 2024 (Vancouver).
Presented ValueScope and Multilingual Abstention at EMNLP 2024 (Miami).
Gave talks on MediQ at JHU RAIHS Symposium and MSR Real-world Evidence Lab in 2024.
Background
Second-year Ph.D. student at the Allen School of Computer Science and Engineering, University of Washington, advised by Yulia Tsvetkov.
Research focuses on Natural Language Processing and Cognitive Modeling, with an emphasis on applying AI to improve healthcare and wellness outcomes.
Interested in computational modeling of human cognitive processes, including reasoning, communicating uncertainty, and decision-making in complex domains like healthcare.
Long-term goal: building socially and cognitively aligned NLP systems for safer, more personalized, and equitable care.
Research interests: AI for Health, Safety & Reliability, Proactive Learning, Social Reasoning, etc.
Miscellany
Maintains a 'Photography' section on her personal website, indicating interest in photography.