My research focus is to build more intelligent computers, drawing inspiration from neuroscience and machine learning. I have been a lead designer on over 10 neuromorphic chips, including Neurogrid (a sixteen-chip system that emulates one-million analog neurons in real-time) and more recently, IBM's cognitive computing chips as part of the DARPA SyNAPSE program. While my main expertise is designing low-power neural hardware, my passion is developing algorithms for these chips aimed at solving real world problems.

I am a research scientist in IBM's Brain-Inspired Computing group (2010 - present), and before that, I was a postdoctoral scholar in Stanford's Brains in Silicon lab (2006 - 2010). I received my PhD from the University of Pennsylvania in Bioengineering (2006) and a BS from the University of Virginia in Electrical Engineering (2000).