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Simon Thomä is listed as Doctoral Researcher at RWTH Aachen University and TU Munich, based in Aachen, North Rhine-Westphalia, Germany. AeroLeads shows a matched LinkedIn profile for Simon Thomä.
Simon Thomä previously worked as Visiting Researcher at Stanford University and Business Analytics Fellow at Imperial College Business School. Simon Thomä holds Master Of Science - Ms, Business Analytics, 90% (1St In Class) from Imperial College London.
Doctoral Researcher focusing on the development of new optimisation methods with industry experience in optimisation and automation software development.
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Aachen, North Rhine-Westphalia, Germany
• Conducting scientific research in the fields of Robust Optimization, Optimization of Sustainable Supply Chains, Disaster Response Network Design• Participating in international conferences and collaborating with renown scholars in the field• Supervising student theses and conducting teaching modules
London, England, United Kingdom
• Supervised students in quantitative data-based consulting projects for international clients; developed new teaching material introducing key skills and technologies• Communicated with project stakeholders before, during, and after projects; scoped feasibility of projects and ensured student success; wrapped up projects and extended on student results where necessary
London, England, United Kingdom
• Develop, implement and test new approaches for legal document feature extraction using natural language processing techniques• Project forms part of a £1.1m collaboration with multiple universities and industry leaders to develop a data access platform which will accelerate the development and adoption of new digital services in audit and legal services
London, England, United Kingdom
• Project leader for quantitative data-based consulting project for international client; responsible for problem finding, goal definition and development of the solution• Implementation of an optimisation algorithm in Python to improve resource distribution among different markets; significant modelling improvement above previously used methods
Bonn Area, Germany
• Collaborated in leading research group on automatized optimization of computer chip layouts to create algorithm to beat even experienced designers; algorithm calculates provably optimal solutions in fraction of time experts need manually; close collaboration with IBM’s research department• Analysed performance to develop new formulation and achieved improvement of 35% over previous versions; implementation of new formulations in C++ and Python• Led new team members through first weeks teaching all skills needed to participate; all new members passed trial period and got longer time work contracts
Activities and Societies: German Academic Scholarship Foundation Scholarship, Data Analytics Scholarship Core Modules: Analytics.
Activities and Societies: German Academic Scholarship Foundation Scholarship Core Modules: Discrete Mathematics, Combinatorial.
Activities and Societies: German Academic Scholarship Foundation Scholarship, ERASMUS Scholarship Core Modules: Parallel Computing.
Activities and Societies: German Academic Scholarship Foundation Scholarship Core Modules: Discrete Mathematics, Combinatorial.
Activities and Societies: German Academic Scholarship Foundation Scholarship Studied purely out of interest. Finished all lecture modules.
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Simon Thomä works for RWTH Aachen University and TU Munich.
Simon Thomä is listed as Doctoral Researcher at RWTH Aachen University and TU Munich.
Simon Thomä is based in Aachen, North Rhine-Westphalia, Germany while working with RWTH Aachen University and TU Munich.
Simon Thomä has worked for Rwth Aachen University And Tu Munich, Stanford University, Imperial College Business School, Kpmg Uk And Imperial College London, and Research Institute For Discrete Mathematics, University Of Bonn.
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Simon Thomä holds Master Of Science - Ms, Business Analytics, 90% (1St In Class) from Imperial College London.
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