Jacqueline De Beaudrap is a lecturer and researcher with over 20 years’ experience in mathematical sciences, specialising in graph theory, discrete mathematics and optimisation of physical (spin) systems. She combines deep theoretical insight with practical algorithm design and software implementation, routinely mapping complex problems to known computational frameworks and extending solutions beyond their original domains. Her background spans top research institutions (Sussex, Oxford, Cambridge, CWI, Potsdam, Waterloo) and includes work on quantum information and quantum computational models, where she produced efficient translation algorithms for measurement-based quantum computing. Known for rapidly acquiring new technical skills, she seeks collaborations with industry or government to translate rigorous mathematical approaches into innovative technologies. An underappreciated strength is her ability to expose hidden mathematical structure in applied problems, turning theoretical obstacles into actionable computational strategies.
6 years of coding experience
16 years of employment as a software developer
M.Sc., Computer Science, M.Sc., Computer Science at University of Calgary
Ph.D., Mathematics, Ph.D., Mathematics at University of Waterloo
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Jacqueline De Beaudrap - Lecturer at University of Sussex