I’m an empirical IO-trained economist with an unhealthy obsession for building scalable IO systems to replace myself. My equations know what you want and, more importantly, why you want it. Machine learning and structural estimation were made for each other – as much as I can, I always invite them to the same parties.

Since joining Amazon, I’ve been working with an incredible team of economists, research scientists, data junkies, and developers tackling some of the biggest problems facing Amazon’s device business. Most of my focus has been on developing the theory and computational infrastructure required to produce demand analysis at the scale required by the business.