Thomas Bäck has a strong record in prediction and optimization algorithms based on concepts from natural evolution, so-called evolutionary algorithms, which are the core search method of the Molecule Evoluator^TM. He has published more than 130 articles on natural computing technologies, as well as a book on evolutionary algorithms, entitled Evolutionary Algorithms: Theory and Practice. He is editorial board member and associate editor of a number of journals on evolutionary and natural computation, and has served as program chair for all major conferences in evolutionary computation. He received the best dissertation award from the Gesellschaft für Informatik (GI) in 1995 and is an elected fellow of the International Society for Genetic and Evolutionary Computation for his contributions to the field. Since 1996 he has been Associate Professor of Computer Science at Leiden University, The Netherlands, and Professor for Natural Computing since 2002.

Thomas is Managing Director of NuTech Solutions, GmbH, and Chief Scientist of NuTech Solutions, Inc. NuTech Solutions delivers innovative solutions, powered by Intelligent Business Engines^TM that yield insight and measurable results for the evolving business environment. NuTech’s engines analyze, predict, optimize and adapt to solve challenging business problems while realizing tangible business benefits for industry leading clients in automotive, consumer goods, financial services, national security, and petroleum industries.