Dr. Freddie Page serves as the Strategic Teaching Fellow in the Dyson School of Design Engineering at Imperial College London. He earned his MPhys from the University of Oxford in 2011 and completed his PhD in theoretical nanophotonics at Imperial College London in 2016. His research focuses on designing materials capable of slowing light to a complete stop and exploring the interactions of light with sheets of graphene far from thermal equilibrium.

David Dye is a Professor of Metallurgy in the Department of Materials, specializing in the development of alloys for jet engines, nuclear applications, and caloric materials aimed at reducing fuel consumption and preventing in-service failures. His work involves advanced crystallography, utilizing techniques such as neutron and synchrotron X-ray diffraction and electron microscopy at the atomic scale. The large datasets generated by these techniques present complex data analysis challenges. David earned his PhD and undergraduate degrees from Cambridge University in 1997 and 2000, respectively, and joined Imperial College London in 2003. He also teaches introductory mathematics, with a focus on errors and data analysis, and has been recognized with student-led awards for his innovative teaching methods.

Dr. Samuel J. Cooper is an esteemed Associate Professor in Energy Science and Materials Design at the Dyson School of Design Engineering, Imperial College London. With a background that spans battery technology, fuel cells, and machine learning, Dr. Cooper is at the forefront of innovative research in materials design and energy systems. His PhD research focused on the characterisation and optimisation of battery and fuel cell electrodes, using 3D imaging, simulation, and machine learning techniques to advance the development of energy storage systems.Dr. Cooper leads the TLDR (Tools for Learning, Design, and Research) group, which is known for its cutting-edge work in applying Generative Adversarial Networks (GANs) to various design tasks. GANs, a class of artificial intelligence techniques, are employed by Dr. Cooper and his team to drive advancements in designing complex materials and systems, helping to bridge the gap between artificial intelligence and engineering design.His research and teaching intersect the fields of materials science, energy systems, and AI-driven design, making him a leader in the application of emerging technologies to solve real-world problems in energy and engineering. Dr. Cooper is passionate about exploring innovative ways to create sustainable energy solutions and enhance material design through the application of computational tools and machine learning techniques.