Hello

I am a Research Lead at the Ellison Institute of Technology (EIT), where I work on advancing AI across multiple domains, with a special focus on healthcare applications.

Before joining EIT, I was a Senior Principal Research Manager at Microsoft Research Cambridge, where I led several projects aimed at improving the causal reliability and interpretability of generative AI models. My work spanned healthcare and life sciences, including developing models to generate real-world evidence from electronic medical records, improving understanding of the immune system by linking diseases to T-cell receptors, and optimizing CAR-T therapies. Earlier in my career, I led a team at Amazon focused on the emulation of physical systems, contributing to improving simulators of the Amazon supply chain and the development of Amazon Prime Air drones.

My research focuses on causality and generative AI, with a particular interest in making these technologies reliable enough for high-stakes decisions in healthcare, life sciences, and related domains. A central question driving my work is whether large language models and other foundation models can reason causally, and what it take to verify that they do so they can be used safely.