PhD Thesis Defense

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

This thesis studies online resource allocation across different regimes of uncertainty, including uncertainty in demand, resources, or both.

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

This dissertation examines three manifestations of the TCAP.

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

In this thesis, I present privacy-aware audio sensing systems for monitoring environmental and human health.

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

This thesis explores automatic marginalization at different abstraction levels of probabilistic programming.

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

This thesis develops and analyzes algorithms for several key problems related to eigenvalue and eigenvector estimation.

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

This research advances methodologies for analyzing content from online datasets, interpreting intent, retrieving knowledge, and leveraging these insights.