The Numerical Algorithms Group (NAG) has announced the appointment of RWTH Aachen University Professor Uwe Naumann as Principal Scientist. In this role, Professor Naumann will help drive the next generation of technical products at NAG through his extensive knowledge of technical and scientific computing and Automatic Differentiation.
As part of the next phase of the collaboration, NAG will fund multiple Research positions and projects in RWTH whilst simultaneously providing a career path for industrial Software Engineering through a NAG technical office in the Aachen/Cologne area. Additionally, NAG will fund a variety of student and educational resources in the fields of Numerical Computation, Machine Learning and Automatic Differentiation, with the goal of training the next generation of data scientists and programmers.
Adrian Tate, CEO of NAG, said: ‘NAG is at an exciting point in our evolution, and to help facilitate that change, we are appointing various world-class industry and research experts to help steer a suite of upcoming product innovations. I am delighted that Professor Naumann will become our first Principal Scientist. Through the collaboration we will continue to develop a German Centre of Excellence in Numerical Computing and Machine Learning that will inspire highly skilled computer scientists into NAG, and to expanding our own knowledge and relationships within these critical fields.’
NAG has collaborated closely Professor Naumann's group at RWTH for over 15 years, during which time the collaboration has brought the industry-leading NAG Automatic Differentiation Suite to market, proving a solid basis for the Centre of Excellence. NAG enjoys close relationships with numerous industry luminaires including ACM Turing Award winner Professor Jack Dongarra of UTK/University of Manchester; Nicholas John Higham FRS, also from University of Manchester; Professors Coralia Cartis and Mike Giles of Oxford University; Dr Rebecca Killick of the University of Lancaster and Professor Philip Gill from the University of California, San Diego.
Uwe Naumann added: ‘The close collaboration with NAG has played an outstanding role in my career so far, providing a unique infrastructure for linking academic research with industrial requirements. I look forward to helping shape the future of NAG as one of the world's leading providers of numerical methods and software, including corresponding education and consultancy. I am honoured to be provided with this exceptional opportunity.’
