Jun Xu has been a Professor in the School of Computer Science at Georgia Tech since 2000. He has worked on the design and analysis of network algorithmics for over two decades. He was instrumental in introducing randomization to the design of network algorithmics. His network algorithmics research jointly with his former students has garnered Best Student Paper Awards in conferences such as ACM Sigmetrics. In the past three years, he has ventured into an emerging research field called big data algorithmics that includes topics such as locality sensitive hashing (LSH) techniques for supporting similarity search in database and machine learning applications, and follows the same guiding principle of network algorithmics: combining algorithmic thinking with systems thinking. He has been an ACM Distinguished Scientist since 2010.