About us
Our work begins with people.
NEUROssance is a unique initiative headquartered in Oxford, built by scientists and innovators who specialise in developing innovative programmes and tools for quantum technologies, AI and neurotechnology.
Science-driven and evidence-based.
NEUROssance is the first and only initiative to integrate pedagogy and cognitive science principles into emerging-tech programmes and tools, which positions it as a unique global ecosystem builder in the deep-tech landscape.
First flagship initiatives tested through research collaborations at
- University of Oxford
- Quantinuum
- IBM Quantum
We prioritise empowering human intelligence by making deep-tech literacy universally accessible. Using cutting-edge tools and methods, we support diverse learners, ensuring that both individuals and societies are prepared to thrive in an era of rapid transformation.
Vision and mission
Our vision
Redefining how knowledge and innovation shape future-ready minds.
Our mission
To design science-driven, customisable solutions that accelerate learning, preparing individuals and institutions for the challenges and opportunities of the Quantum-AI and emerging technology landscape.
Who we are.
Scientists from Oxford, Cambridge, Gdańsk and the quantum industry, teaching their own field.
A pioneer of diagrammatic reasoning in quantum theory. Bob Coecke spent twenty years at the University of Oxford, where he co-founded and led the Quantum Group, before moving to industry as Chief Scientist at Quantinuum. He continues to supervise students at Oxford and elsewhere, and still teaches at Oxford’s Mathematical Institute.
A developmental cognitive scientist with a longstanding interest in multidisciplinary approaches to education. Her research focuses on the cognitive processes behind human educability and reasoning, educational interventions and brain stimulation, and on how quantum science can change the way complex ideas are taught.
John Selby works on the foundations of physics: how do we know that nature is non-classical, is there a deeper theory of nature than quantum theory, and what is the best way to understand quantum theory? He does not know the answers yet, but is convinced that diagrammatic methods and process-based thinking will be part of them.
Her research formalises where quantum computer architectures, quantum error correction, quantum graphical calculi and models of quantum computation meet. Her wider interests include quantum algorithms for physics and chemistry, quantum circuit synthesis and complexity, and quantum education.
A physicist working on quantum foundations and quantum computing, with an emphasis on compositional, process-based perspectives. He has taught Quantum in Pictures in both the UK and Pakistan, and was part of the team that took the approach to the 2023 Oxford study with state-school students.
A senior researcher bridging the worlds of mathematics and computer science. His current research focuses on the development of graphical languages for applications in quantum computing and machine learning, seeking to simplify complex computational structures through visual and mathematical frameworks.
Also teaching on our courses.
Our impact goals.
- 01
Expand the global talent pipeline
through strategic workforce development.
- 02
Empower underrepresented learners
with equitable access to frontier knowledge.
- 03
Shape policy and business agendas
for responsible, inclusive adoption of deep tech.
Pain points we solve.
- 01High entry barriers in quantum and AI
- 02Shortage of QIST- and AI-ready workforce
- 03Lack of intuitive learning methodologies
- 04Global inequality in deep-tech literacy
- 05Risk of cognitive neglect
- 06Limited personalised learning experiences
- 07Slow organisational adaptation to emerging technologies