The focus of my research is on theoretical problems at the interface between machine learning and microeconomics. This interface is broad, spanning domains such as crowdsourcing and prediction markets, to finance and algorithmic game theory. I am particularly interested in applying machine learning theory to economic domains, such as using coordinate descent to understand market behavior, and c...

All rights reserved. Permission granted to make one copy for non-commercial use.

1 Microeconomics is the study of how individual firms and households make decisions, and how they interact with one another. Microeconomic models of firms and households are based on principles of optimizationfirms and households do the best they can given the constraints they face. For example, households choose which goods to purchase in order to maximize their utility, whereas firms decide h...

A basic tenet of microeconomics suggests that the subjective value of financial gains decreases with increasing assets of individuals ("marginal utility"). Using concepts from learning theory and microeconomics, we assessed the capacity of financial rewards to elicit behavioral and neuronal changes during reward-predictive learning in participants with different financial backgrounds. Behaviora...