PhD Thesis Defense

This dissertation argues for a different approach to sorting and filtering social media feeds.

In this defense, I outline a program to move from post-hoc explanations toward a principled science of reverse-engineering LLM internals.

This research investigates the design and implementation of ultrasonic sensing systems that allow everyday devices to perceive and interpret signals beyond the

This thesis seeks to understand the extent of health inequity captured in EHR data and investigate how ML models can be redesigned to ensure they maintain...

This thesis studies questions from three complementary perspectives for real-world scenarios.

This thesis proposes an alternative path toward intelligent control by  drawing inspiration from biological systems and exploring the concept of time-aware...

This dissertation argues that how people perceive and interpret bias in AI outputs is shaped by how the outputs are presented and who is interpreting them.

This thesis focuses on addressing the challenges of sleep monitoring at the community level by developing scalable, personalizable, and robust sleep detection..

This dissertation investigates how NLP methods can enable scalable educational assessment and AI systems across key components of the educational pipeline.

I develop a Gumbel random process-based approach that improves the optimization  landscape, resulting in a more stable and expressive variant of Box Embedding.

This thesis develops scalable, accurate tools and benchmarks for factuality assessment that set higher standards for AI evaluation.

This dissertation addresses challenges to encrypted databases through the following contributions: obliviousness and query expressiveness.