M2PI Case Studies Virtual Seminar: Ray Spiteri

Industrial mathematics is mathematics designed for uptake by the industrial sector. Its popularity has waxed and waned over time in the eyes of governments, the public, and students and academics alike. Industrial mathematics can feel like pure mathematics (cryptography, algorithm analysis), applied mathematics (modelling, numerical analysis), both (optimal control, compressed sensing), or neither (large language models, scientific workflows); it can feel profound (quantum computing, game theory) or seemingly straightforward (linear programming, parameter fitting).  In this talk, I will share 12 of the lessons I have learned about industrial mathematics and the related entangled collaborations. The lessons are designed to help your experience be relatively pain-free.