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Andreas Grothey is a Senior Lecturer in the School of Mathematics at the University of Edinburgh, specializing in optimization methods. He has a robust background in applied mathematics and has contributed significantly to the fields of large scale optimization and stochastic programming. Grothey’s research interests include the development and application of Interior Point Methods, as well as decomposition methods for solving various optimization problems. His expertise extends to stochastic (mixed-)integer problems and their applications in areas such as finance and telecommunications. He has served on the editorial board for multiple journals, including the International Journal of Computer Mathematics and Acta Applicandae Mathematicae, and has engaged in professional activities as a technical editor for Mathematical Programming Computation. Following a successful academic path, he earned his MSc in Applied Mathematics with Scientific Computing from the University of Dundee in 1996 and completed his PhD in Optimization at the University of Edinburgh in 2001. Throughout his career, Grothey has supervised several PhD students in the field of operations research and optimization.
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