PhD Thesis Defense

This dissertation develops analytic pipelines and machine learning approaches to estimate ataxia severity.

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

This thesis contributes novel methods for differentially private statistical learning, with a focus on improving the usability of private inference.

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

The optimization of user experience through online A/B testing has long been a cornerstone of digital business strategy, driving revenue and...

This dissertation explores the potential of NLP to extract, analyze, and apply SBDH information to advance clinical insights.

In this thesis, we study methods and tools for learning from uncertain and incomplete longitudinal data.

This thesis investigates how LLMs can assist, transform, and extend human work across three specific tasks: translation, editing, and literary interpretation.

This dissertation categorizes skills that fall under computational thinking and describes our work towards improving student learning and engagement.

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