Cal Newport is an Associate Professor of Computer Science at Georgetown University, who specializes in the theory of distributed algorithms. He previously earned his Ph.D. from MIT in 2009 and graduated from Dartmouth College in 2004.
In addition to studying the theoretical foundations of our digital age as a professor, Newport also writes about the impact of these technologies on the world of work.
His most recent book, Deep Work, argues that focus is the new I.Q. in the knowledge economy, and that individuals who cultivate their ability to concentrate without distraction will thrive.
Episode 552: Case Study: How Could We Save This Ridiculously Overloaded Grind by Cal Newport (Like Part-Time Genius HowStuffWorks).
The original post is located here: http://calnewport.com/blog/2008/09/12/case-study-how-could-we-save-this-ridiculously-overloaded-grind