PhD Dissertation Proposal Defense

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.

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

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

This thesis presents a comprehensive investigation into the design, implementation, and analysis of resource allocation systems for modern datacenters.

This thesis presents multiple approaches for aligning LLMs with realistic student behavior.

This thesis investigates the interplay between simulation and causal inference, focusing on how causal modeling can enhance simulation and vice versa.