Daniel Kuhn is a Senior Lecturer in the Department of Computing at Imperial College London. His current research interests are focused on the modeling of uncertainty, the development of efficient computational methods for the solution of stochastic and robust optimization problems and the design of approximation schemes which ensure their computational tractability. This theoretical work is primarily application-driven, the main application areas being energy systems, finance and engineering. Before joining Imperial College he was a postdoctoral research associate in the Department of Management Science and Engineering at Stanford University. He holds a PhD degree in Economics from University of St. Gallen and a MSc degree in Theoretical Physics from ETH Zurich. He serves on the editorial boards of several academic journals including Operations Research and Mathematical Programming.