Assistant Professor, Johns Hopkins University


Xin Jin is an Assistant Professor in the Department of Computer Science at Johns Hopkins University. His research is in computer systems, particularly computer networks and the co-design of computer networks with distributed systems, operating systems, storage systems and databases. He received his BS in computer science and BA in economics from Peking University in 2011, and his MA and PhD in computer science from Princeton University in 2013 and 2016. After that he was a postdoctoral researcher at UC Berkeley for one year. He has received many awards and honors, including USENIX FAST Best Paper Award (2019), USENIX NSDI Best Paper Award (2018), Amazon AWS Machine Learning Research Award (2019), Google Faculty Research Award (2019), Facebook Communications & Networking Research Award (2018), and Siebel Scholar (2016).