PhD Thesis Defense

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

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 aims to address these challenges by developing a series of approaches for the automated assessment of open-ended mathematical responses.

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