Daniel Rock is a Ph.D. Candidate at MIT Sloan and Researcher at the Initiative on the Digital Economy.
His research is broadly about how new technologies affect firms and markets. Recent projects have been focused on the economic effects of machine learning and measuring the value of human capital and intangible assets to firms. He is also currently working on a large-scale field experiment in financial markets and on projects to improve causal inference methods in networks.
Before beginning his studies at MIT, Daniel worked as an algorithmic trader in Chicago. He received a S.B. in economics in 2010 from the Wharton School of the University of Pennsylvania.