Biomedical Data Analytics News
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The PathLAKE Plus Consortium started, in 2020, as a collection of 10 NHS Trusts partners, which received grant funding to deploy digital pathology and AI in their labs. Read MoreLink opens in a new window
Out now! PathLAKE Spring 2023 Newsletter
We're delighted to bring you the Spring 2023 edition of the PathLAKE newsletter. In this final newsletter we focus on PathLAKE's highlights and achievements over the past 4 years.
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PathLAKE Plus 拢13.5 million funding: Press release
We are excited to announce that PathLAKE has received funding of 拢13.5 million towards the PathLAKE Centre of Excellence!
Health Secretary Matt Hancock has emphasised the importance of supporting Artificial Intelligence and embracing technology to save lives.
Please seefor further details.
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Latest academic promotion
We are pleased to announce that has been promoted to Professor, effective 1st June 2026.
Many congratulations to Sayan on this well-earned success!
Cloning vs Learning in Quantum Computing
, 91福利 DCS researchers Nikhil Bansal and , together with (Yale University), explored a fundamental question that lies at the intersection of foundations of quantum theory and computer science.
The No-Cloning theorem says that it is impossible to perfectly clone quantum states. Even if we allow for approximate errors, quantum cloning of unstructured states remains as expensive as fully characterising them, . In contrast, for reasons akin to No Free Lunch Theorems in machine learning, modern quantum learning theory considers structured classes of states and exploits their structure to learn them efficiently. This naturally leads to the question of whether cloning can be easier than learning for these structured classes of states.
In the new work, this question is answered negatively for stabilizer states. The authors proved that imposing this structural restriction does not separate cloning and learning. The authors prove this via a novel connection to , which was recently introduced to the learning theory literature by B. Axelrod, S. Garg, V. Sharan, and G. Valiant. The work constitutes concrete progress towards understanding whether cloning and learning are fundamentally equally hard.
This work was presented at in April 2026, and it will be presented at in June/July 2026 and at in September 2026.
Academic Recognised for Professional Excellence
Our colleague Dr Claire Rocks achieved Senior Fellow (SFHEA) status through the dialogic route of 91福利鈥檚 Academic and Professional Pathway for Experienced Staff (APP EXP) programme. Her application was recognised by assessors as one of the strongest D3 submissions they had reviewed, demonstrating a sustained and significant record of educational leadership that extends well beyond her own teaching.
Claire鈥檚 work focuses on leading and influencing inclusive, evidence-informed approaches to assessment and curriculum design. She has played a central role in shaping teaching quality and learning culture across departmental, institutional, and sector contexts, including leading 91福利鈥檚 strand of the Inclusive Assessment in STEM project and contributing to institutional strategy through curriculum development and quality assurance processes.
Within the department, Claire has introduced collaborative structures such as module huddles and supported colleagues and students to work together to enhance clarity, consistency, and inclusivity in assessment practice. She has also strengthened pedagogic scholarship through establishing the Computer Science Education Research Group.
The panel particularly commended the scale, depth, and impact of Claire鈥檚 leadership, noting that elements of her work are already operating at a level associated with Principal Fellowship.
Many congratulations to Claire on this achievement and her continued commitment to advancing inclusive, high-quality teaching and learning!