Korok is an Associate Professor at the Mays Business School of Texas A&M University, and he is the Director of the Mays Innovation Research Center.  He is a labor economist who researches the future of work. In particular, he investigates how computer science and machine learning can create better electronic labor markets that will become ever more common in a networked society.

In the future, jobs will no longer take the form of full-time employment by local workers on a fixed salary. Instead, the Internet will serve as the primary vehicle through which work is distributed. Technology will allow companies and entrepreneurs to assign, allocate, locate, and discover talent at the task level. This itself is an enormous coordination and design problem that mixes computation and economics. This problem is the center of Korok’s research.

Korok’s core area of research is performance measurement: the study of incentives, risk/reward, and compensation for human performance. This application includes executives, chief financial officers, financial traders, farmers, doctors, teachers, rank and file employees, bankers, and even athletes. His research seeks to create economic models of human behavior and to design incentive systems to achieve better outcomes for all. His tools are economic theory, data science, and some small doses of artificial intelligence.

Korok earned a BS in mathematics from the University of Chicago and a Ph.D. in economics from Stanford University. He has taught at the University of Chicago and Georgetown University, as well as Texas A&M University.  He also served on the Council of Economic Advisers of the White House from 2007 to 2009 during the historic financial crisis.