Michael Carilli is a Senior Developer Technology Engineer on the Deep Learning Frameworks team at Nvidia. His focus is making mixed-precision and multi-GPU training in PyTorch fast, numerically stable, and easy to use. Previously, he worked at the Air Force Research Laboratory optimizing CFD code for modern parallel architectures. He holds a PhD in computational physics from the University of California, Santa Barbara.