Daniel Rock is a PhD Candidate at MIT Sloan and a Researcher at the MIT Initiative on the Digital Economy.
He researches how firms make and earn returns to investments in technology, and is particularly interested in the economics of Artificial Intelligence. Some of his recent projects have focused on predicting the economic effects of machine learning, measuring the market value of human capital and intangible assets, and understanding investment returns to technological labor. His other work is centered on designing and implementing large-scale field experiments in digital markets.
Before beginning his studies at MIT, Daniel worked as an algorithmic trader. He received a B.S. in economics from the Wharton School of the University of Pennsylvania.