Presentation Abstract:  The rapid advance of AI driven by Large Language Models (LLMs), like ChatGPT, has led to impressive results across a range of different use cases. This has included […]

Presentation Abstract: Despite ML models' impressive performance, training and deploying them is currently a somewhat messy endeavor. But does it have to be? In this talk, I overview my work […]

Presentation Abstract: Despite the widespread proliferation of neural networks, the mechanisms through which they operate so successfully are not well understood.  In this talk, we will first explore empirical and […]

Presentation Abstract: The growing complexity and heterogeneity of networked systems have spurred a plethora of machine learning (ML) solutions, each promising a tantalizing improvement in performance. However, their path to […]

Presentation Abstract: Artificial Intelligence is being increasingly relied on in safety-critical domains. But the predictive models underlying these systems are notoriously brittle, and trustworthy deployment remains a significant challenge. In […]