Douglas Feitosa Tome is a PhD candidate at Imperial College in London. His research interests lie at the intersection of computational neuroscience and machine learning. Current research projects explore memory formation and stabilization in the brain and continual learning in deep neural networks. Previously, he worked as an an Analyst in the Energy Advisory & Solutions practice at ICF International. He has a masters degree in Information Systems Technology from the George Washington University’s School of Business. Douglas graduated magna cum laude from the Universidade Federal do Ceará in Brazil with a Bachelor of Science in Mechanical Engineering degree. He has professional experience in financial accounting in investment banks. He has also conducted a research project focused on applying the finite element method and signal processing techniques to model acoustical sources. Within the Decision-Making and Systems Architecture his research focused on complex sociotechnical engineering systems, systems architecture, and the derivation of metrics for flexibility, complexity, and controllability of engineering systems.