Daniel Rock’s research is on the economic effects of digital technologies, with a particular emphasis on the economics of artificial intelligence. He has recently worked on studies addressing the types of occupations that are most exposed to machine learning, measuring the value of AI skillsets to employer firms, and adjusting productivity measurement to include investments in intangible assets. His research has been published in various academic journals and featured in outlets such as The New York Times, Wall Street Journal, Bloomberg, Harvard Business Review, and Sloan Management Review. Much of his work involves applying cutting-edge data science techniques to analyze datasets from financial market data sources, online resume sites, and job postings.
Professor Rock received his BS from the Wharton School of the University of Pennsylvania, and his MS and PhD from the Massachusetts Institute of Technology. Between undergraduate and graduate studies, he worked as an Algorithmic Trader at DRW Trading.
