PhD Dissertation Proposal Defense

This thesis investigates architectural principles for large-scale quantum networks across three settings.

In the first part of this thesis, we formulate a general-purpose information-theoretic criterion that allows further improving SSL representations.

This thesis investigates generative models for parametric curves and surfaces.

We focus on three fundamental processes: quantum teleportation with noisy memories, error correction in quantum storage, and distributed blind quantum computing

In this thesis, I focus on the computability of allocations which maximize well known fairness objectives

This thesis addresses challenges with robust algorithms tackling different aspects of uncertainty, including RL, resource allocation, explainability and LLMs.

This proposal outlines a program for bringing that causal toolkit to mechanistic models.

This dissertation shows that two distinct fields - differential privacy and computational ecology - can be addressed through a unified methodological framework.

The central argument of this thesis is that effective search in these regimes requires evolving beliefs.

This dissertation presents a new foundation for flexible and secure replication of blackbox stateful services.

In our work, we show that common data-splitting mechanisms thought to be a good proxy for out-of-distribution performance have significant cross-split overlap.

This dissertation addresses how computer science instructors can redesign course structures and pedagogy in response to the widespread availability of LLMs.