Get in touch if you are interested in joining my team!
Bloomberg Center 257
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.
|Jan 2022||Moved to NYC and started at Cornell Tech!|
|Jan 2019||Moved to the UK and started work at the Samsung AI Center in Cambridge.|
|Sep 2016||Started work at Intel’s Programmable Solutions Group in Toronto.|
|Aug 2016||Successfully defended my PhD.|