Department of Computer Science and the College
Junchen Jiang’s work blends two distinct areas of computer science: networked systems and machine learning. Through his work with such companies as Microsoft Research, Google, and Conviva, he has observed that content providers monitor performance metrics for the use of their internet applications, but rarely turn around that data to improve quality. In his PhD thesis, he proposed a top-down, data-driven approach to optimization that can improve the user’s quality of experience in streaming applications. Since then, many of his research projects have flipped this previous formula around and instead have applied insights from the networked systems literature to modernize machine learning. Jiang is also interested in working with the Array of Things project, an urban sensing network built by researchers at the University of Chicago and Argonne National Laboratory that serves as a test bed for sensor and edge computing innovation.
His research has been published in IEEE/ACM (Institute of Electrical and Electronics Engineers/Association for Computing Machinery) Transactions on Networking and presented at numerous conferences, such as those held by the ACM Special Interest Group on Data Communication and the USENIX Symposium on Networked Systems Design and Implementation.
Jiang earned a BS in computer science from Tsinghua University in China, followed by a PhD in computer science from Carnegie Mellon University.