About Cambridge AI Lab
A global community of researchers and interdisciplinary teams, driven by the belief that artificial intelligence must serve as a catalyst for human evolution, never a replacement. By forging pathways for human‑AI co‑evolution, we strive to ensure technology expands human potential and shapes a forward‑looking future.
At Cambridge AI Lab [CAM AI LAB], we believe AI is not a replacement for humanity. It is a catalyst for our collective evolution.
Through rigorous research and business cooperation, we explore how humans and AI can co-evolve. Our work spans academia, business, and education, bridging the gap between cutting-edge AI science and tangible human progress.
Why We Exist
To shape a future where AI amplifies human capability, not replaces it — where both evolve together.
How We Work
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Research that reimagines human-AI interaction.
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Practical consulting that transforms organizations.
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Education that prepares minds for a collaborative future.
Where We Create Impact
From the lab to the boardroom to the classroom — turning theory into tools, and insight into action.
Our Leading Members
Prof Pietro Liò
Full professor, University of Cambridge, Member of the Academia Europaea,
Member of Cambridge Artificial Intelligence Group and Cambridge Centre for AI in Medicine, Fellow and Member of the Council of Clare Hall College. Author of Graph Attention Networks (ICLR 2018).
Advisory Board and Honorary Director of
CAM AI LAB
Dr Yirui Jiang
Member of IEEE, Royal Society, British Academy, Alan Turing Institute, AOM, INFORMS, FHEA-certified for PhD supervisor, Delegate of United Nations in AI, Expertise of AI Ecosystem and Business Transformation.
Co-Director of CAM AI LAB
Dr Fan Mo
EU Marie Curie Scholar, Co-Chair of the Marie Curie Alumni Association China, Chartered Engineer, Lead and Participated in over £20 million Projects, Team lead of AI group at Oxford, Course lecturer at Oxford, Member of Cambridge Trinity College Postdoctoral Society, Lecturer at KTH, Expertise in AI, GNN and Human-AI Interaction.
Co-Director of CAM AI LAB
Kevin Zuo
PhD in Computer Science, Research Fellow at the Alan Turing Institute (the UK's national AI laboratory), and Head of the Artificial Intelligence Industry Association, Expertise in Medical AI, and Surgical Robot.
Research Fellow
Dr Gary Fox
Over 25 Years of Business Experience, Specializes in Helping Leadership Teams Navigate Change in Uncertain Times, Enhance Strategic Thinking, and Build Organizational Capacity for Sustaining Transformation.
Industry Fellow
Dequn Teng
PhD in Technology Management, Focus on Human–Algorithm Interactions' Effects on Analytical Creativity in Algorithmic Trading, Bridging Insights from Computer Engineering, Technology Management, and Organizational Strategy.
Academic Fellow
Dr Yu Zhang
Advanced Imaging Specialist in Oxford Kennedy Institute, University Of Oxford. Former researcher at Cornell University. Member of EPSRC project InLightenUs2050. Focus on AI combined with Optics, experienced in computational imaging, AI adaptive optics and laser application.
Academic Fellow
Prof Zhihan Lyu
Full Professor in Digital Twins at Xidian University. Former Associate Professor at Uppsala University. Fellow of British Computer Society, Fellow of Royal Society for Arts, Fellow of Royal Society for Public Health, Fellow of the Higher Education Academy, ACM Distinguished Speaker, Marie Skłodowska-Curie Fellow, Clarivate Highly Cited Researcher. Focus on Spatial Digital Twins, experienced in Digital Twins of the Earth and cities at the macroscopic level and Digital Twins of cells and molecules at the microscopic level.
Academic Fellow
Fan Zhang
PhD in Technology Management, Focus on Human–Algorithm Interactions' Effects on Analytical Creativity in Algorithmic Trading, Bridging Insights from Computer Engineering, Technology Management, and Organizational Strategy.
Research Fellow
Nithin Sudarsan
Advanced Computer Science MPhil, researching knowledge graphs for LLMs, with prior experience as a developer at an Indian fintech unicorn, interested in transforming research into applied machine learning solutions.
Research Fellow
Dr Hamood Ur Rehman
Over 10 Years of Experience in Intelligent Manufacturing and Industrial Automation, Specializing in Robotics, PLC/SCADA Systems, and AI-Driven Production Optimization. Focused on Designing Adaptive Control Architectures, Digital Twins, and Data-Centric Industrial Platforms that Enable Self-Configuring, Resilient, and High-Performance Manufacturing Systems.
Industry Fellow
Our Partnerships
Cambridge AI Lab (CAM AI Lab) is founded on the conviction that human-AI co-evolution is a global challenge requiring global collaboration. We have built a multi-dimensional partnership network to validate research, translate theory into practice, and shape the future of AI governance.
Academic Collaboration
Partner with leading global universities to ground our research in academic excellence. Joint supervision of PhDs, co-hosting visiting scholar programs, and collaborative publishing.
Industry Consortium
Translate cutting-edge AI research into sector-specific solutions, focusing on high-stakes, logic-driven fields.
Global Initiatives
Engage with international organizations to contribute to the framework of global, ethical AI deployment.
A Unique CAM AI LAB Mission
The mission of the Cambridge AI Lab (CAM AI Lab) is to build and lead a global ecosystem for human-AI co‑evolution. We are not only a source of ideas but also a connector and catalyst for innovation. By deeply linking world‑leading academic institutions, pioneering industries, and diverse communities, we accelerate the full‑cycle progression of responsible AI, from research to real‑world application, ensuring that technological advancement and human prosperity thrive together. Our ecosystem operates on the core principles of open collaboration, academic excellence, and AI inclusion.
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Academic Freedom
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Sharing & Open Science
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Scientific Rigour & Excellence
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Diversity, Equity & Inclusion
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Human-AI Symbiosis
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Ecosystem Catalyst
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Translational Agility
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Openness, Collaboration & Transparency
Four Strategic Pillars
CAM AI LAB is governed by four strategic pillars that guide its decision-making and commitment.
Talent &
Community
Mobilize a diversified talent pool in a culture of care, co-creation and achievement
Cutting-edge AI Research
Stimulate meaningful contributions and scientific leadership in AI and AI-driven research
Adoption and
Innovation
Empower organizations to adopt AI advances that generate social and economic impact
Governance &
Global Reach
Foster responsible AI and thriving globally-recognized AI ecosystems