Bio
I am interested in building intelligent systems at the intersection of artificial intelligence and human–computer interaction. My work focuses on developing large language models, agentic AI, and computer vision systems for a variety of applications.
I graduated from Imperial College London with First Class Honours and received the Medal for Excellence of the Faculty of Engineering in 2013. During my undergraduate studies, I conducted research at Oxford, Cambridge, MIT, Harvard, and Cancer Research UK, focusing on AI and machine learning applied to biomedicine. I subsequently participated in the Bioscience Enterprise Programme at the University of Cambridge and earned my PhD in Medical Engineering and Medical Physics from the Massachusetts Institute of Technology (Harvard–MIT Program in Health Sciences and Technology).
After my doctorate, I joined Google Health as a Software Engineer, where I worked on natural language processing for electronic health records (EHRs). I later joined Tempus, focusing on computer vision for pathology. I am now a Senior Applied Scientist at Amazon, where I work on large language models, computer-use models, and agentic AI systems.
News
- I gave an invited talk on Medical LLM Trustworthiness at the Amazon Machine Learning Conference (AMLC), 2025.
- I delivered an invited talk on agentic system development (covering computer-use agents, shopping agents, and health AI systems) as part of Amazon’s North America Stores GenAI Learning Series, 2025.
- I presented our work on AI-enabled virtual care with digital assistants at Amazon’s Image & Video Generation Workshop, 2025.
- Amazon’s Buy for Me, my first agentic AI system at Amazon, has been released to US customers.
- I presented our work on evaluating medical safety in LLMs at the Machine Learning for Health Symposium (ML4H), 2024.
- I presented a poster on medical product question answering at the KDD GenAI Evaluation Workshop, 2024.