Dr. Maren David Dangut is a Senior AI Engineer and Salesforce Architect with over eight years of experience spanning research, automotive, and consulting sectors.

He currently leads the development of SPEAR at the International Growth Centre (IGC), a joint initiative of the London School of Economics and the University of Oxford, where he builds AI-driven Salesforce systems that support global research operations.

Prior to this role, Dr. Dangut served as Technical Lead for the Jaguar Land Rover and Lancaster University partnership, leading the modernization of legacy systems into scalable Salesforce infrastructure and developing machine-learning forecasting models that helped reduce inventory waste.

Dr. Dangut holds a PhD in Data Science and Artificial Intelligence from Cranfield University, United Kingdom. He is also a 13-time Salesforce Certified professional, with certifications covering software development, cloud technologies, solution architecture, and enterprise systems.

His professional interests include artificial intelligence, machine learning, data science, digital transformation, enterprise systems, and the application of AI to research and industry challenges.

Research. Innovation. Impact.

John Edoh Onuh is a Computational Physicist, Data Scientist, and Quantum Computing Researcher with a strong interdisciplinary background in physics, artificial intelligence, and data science.

He holds an MSc in Data Science from the University of Sunderland, United Kingdom, and a BSc in Physics from the University of Jos, Nigeria.

His research focuses on the intersection of machine learning and quantum physics, particularly Quantum Physics-Informed Neural Networks (QPINNs). His work demonstrated approximately four-fold improvements in energy prediction accuracy across multiple quantum systems and has been presented in international research publications, including ACM proceedings, with additional papers currently in press.

Beyond academia, John serves as Co-Founder and Chief Technology Officer of Eagleman Integrated Services Ltd and is the Digital and Data Lead at Naion Ltd, United Kingdom. His professional expertise spans artificial intelligence, machine learning, data engineering, scientific computing, and quantum technologies.

John is passionate about leveraging data-driven methods and emerging technologies to address complex scientific and real-world challenges while fostering innovation at the intersection of physics and computing.

Research. Innovation. Impact.