Samuel J. Cooper

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.