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Cal Newport is an Assistant 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 (Grand Central, 2016), 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. On publication, Deep Work became an instant Wall Street Journal bestseller, and received praise in the New York Times Book Review, The Wall Street Journal, The Economist, and The Guardian.
Newport is also the author of three books of unconventional advice for students: How to Be a High School Superstar (Random House, 2010), How to Become a Straight-A Student (Random House, 2006), and How to Win at College (Random House, 2005). The How To student series has sold over well over 150,000 copies since its inception, and Newport has been invited to speak on these topics at some of the country’s top universities, including Harvard, Princeton, MIT, Dartmouth, Middlebury, Georgetown and Duke.
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By Cal Newport