Andreas Grothey

Andreas Grothey is a Senior Lecturer in the School of Mathematics at The University of Edinburgh, a position he has held since 2011. He completed his MSc in Numerical Algebra and Mathematical Computing at the University of Dundee (1995) and his PhD in Optimization at the University of Edinburgh (2001), supervised by Ken McKinnon. His research focuses on stochastic programming, interior point methods, decomposition approaches, high-performance computing, and energy systems optimization. He has contributed to energy planning, power grid reliability, and emergency response strategies for power networks. Grothey has advised seven PhD students, including work on unit commitment, top-percentile traffic routing, and power flow optimization. His projects include the OOPS solver, CESI energy integration center, and the Structured Modelling Language (SML). Recent work addresses pandemic policy optimization and exascale computational challenges.

Education:

• MSc in Numerical Algebra and Mathematical Computing (University of Dundee, 1995)
• PhD in Optimization (University of Edinburgh, 2001)

Research Interests:

• Stochastic Programming
• Interior Point Methods
• Decomposition Methods
• High-Performance Computing
• Energy Systems Optimization

Advising & Projects:

• PhD Supervision (7 students, 2007–2022)
• OOPS Parallel Solver Development
• CESI Energy Systems Integration
• SML Structured Modelling Language

Labs/Teams: Member of the Edinburgh Research Group on Optimization, leading projects in power grid stability and energy planning.