Jeff Pool is a senior architect in the Deep Learning architecture team investigating efficient DL methods. He’s contributed to many areas of various architectures after joining NVIDIA in 2012, but he’s most recently been playing with sparse neural networks. Jeff holds a PhD in computer science with a focus on efficient graphics hardware.