My research group is investigating how best to build the next generation of machine-learning-centric computer systems. We study methods to co-design and co-optimize neural networks and the hardware on which they run, with a special interest in reconfigurable computing using devices like FPGAs. Our goal is to enable efficient deep learning in both mobile devices and datacenters. Our current research projects include:

• New programmable hardware architectures based on FPGAs.
• Automated machine learning (AutoML) and neural network compression.
• Near-sensor machine learning for mobile devices.
• Pre- and post-processing in machine learning systems.