Trustworthy language models
I investigate how language models represent uncertainty, preserve faithfulness, and behave fairly across people and contexts.
Synthetic data evaluation
My work studies how generated datasets should be measured—not only for resemblance, but for utility, reliability, privacy, and downstream risk.
Anomaly detection
I develop unsupervised methods that remain useful in high-dimensional settings without costly parameter tuning.