Al-Amin Bugaje is a scientist with a background in electrical engineering and experience in power systems modeling and applied machine learning. His research focuses on developing methods and tools that support the reliable and efficient operation of decarbonized grids. At Project Drawdown, his work focuses on assessing climate solutions in the electricity sector.
Previously, Al-Amin worked as a research engineer at EDF R&D UK, where he contributed to the development of residential flexibility propositions that integrated technical, economic, and behavioral perspectives to support demand-side participation in future energy systems. He was a visiting researcher at the Delft AI Energy Lab and is currently at Hitachi Energy Research Canada, where he works on scalable solution methods for continental-scale simulations, including dynamic security assessment (DSA).
Al-Amin holds a doctorate in electrical engineering from Imperial College London, where his work included synthetic data generation methods for training robust models for power system security-sensitive tasks such as DSA. Outside of work, he enjoys walking in nature, spending time with family and friends, and winding down with a good sitcom.