Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Project
CuRA: Culture-Conditioned Routing for Safe Agentic AI
This project tackles the challenge of cultural misalignment in AI agents, which often leads to unsafe or inappropriate behaviour in diverse, real-world interactions. CuRA introduces a dynamic routing framework that leverages specialised cultural adapters to…
Project
Adaptive Agentic Robotic Systems
This project focuses on creating robotic systems that can adapt and improve during deployment in dynamic, unstructured environments such as warehouses and industrial sites. It combines the reliability of classical robotics with the flexibility of…
Project
Agentic Verifiers: Provably Safe Test-time scaling for Reasoning Models
This project introduces a novel architecture for agentic AI systems that ensures accuracy, efficiency, and safety during reasoning. It addresses two key challenges—lack of steerability and absence of verifiable guarantees—by developing verifiers that can interject…
Project
Towards the Psychological Security of Agentic AI
This project addresses the critical challenge of ensuring psychological safety in AI systems designed for mental health support. While agentic AI chatbots can deliver evidence-based psychotherapy and personalised interventions, they also pose risks such as…
Project
Quantifying and Mitigating Emerging Risks in Multi-Agent Collaboration
This project investigates critical safety challenges in large-scale deployments of AI agents, focusing on privacy leakage and collusion risks in multi-agent environments. As agents collaborate and negotiate across complex tasks, they may unintentionally expose sensitive…
Project
From Task Solvers to Teammates: A Theory-Grounded Architecture for Advancing Collaboration Readiness in LLM Agents
This project reimagines AI agents not just as autonomous problem-solvers but as effective collaborators. It introduces a theory-grounded approach to design and evaluate Large Language Model agents for human–AI teamwork. The research develops CollabBench, the…
Group
Health Futures UK
Advancing human health through machine learning research. The Health Futures UK team pursues machine learning research in service of advancing human health and our understanding of medicine. Drawing on our expertise in medical imaging and…
Tool
RosettaFold3
RosettaFold3 (RF3) is a unified biomolecular modeling system that predicts 3D structures of proteins, nucleic acids, and small molecules within a single framework. Combining multimodal transformers and generative diffusion models, RF3 enables precise modeling of…
Career Opportunity
Senior Researcher – LLM Systems
We are looking for a Senior Researcher – LLM Systems to invent, analyze, and productionize the next generation of serving architectures for transformer-based models across cloud and edge. The candidate will focus on algorithmic and…
Career Opportunity
Research Intern – Interactive Multimodal Futures Group (Situated & Affective Computing)
The Interactive Multimodal Futures (IMF) group at Microsoft Research seeks a PhD-level Research Intern to work on a project at the intersection of situated interaction, affective computing, and human-centered AI systems. The project will include…