Tim has a keen interest in squeezing the best performance out of Novel Architectures for the benefit of their users. This includes GPUs, FPGAs and the variety of recent accelerators for Machine Learning.
Before joining NAG in 2017, a varied career has taken him to such different subjects as building the Data Science team for a successful FinTech start-up, writing a user-friendly, highly optimised GPU-accelerated simulator for Quantum Cascade Laser materials, designing integrated circuits at the University of Hamburg and lending a hand to Linux kernel development.
Tim holds a doctorate in Quantum Statistics from the University of Rostock. He has 40 years of programming experience and has been helping users with CUDA programming for over 10 years on the Nvidia Forums and Stack Overflow.