Dr. Jiashun Jin

Biography

Jiashun Jin received his Ph.D. in Statistics from Stanford University in 2003 and joined the Statistics Department at Carnegie Mellon University in 2007. His research interests primarily focus on analyzing big data signals, particularly in scenarios where traditional methodologies struggle due to the presence of weak signals amongst a multitude of potential false signals. Prof. Jin has developed innovative statistical methods tailored for challenging settings, including large-scale testing, classification, clustering, variable selection, network analysis, and low-rank matrix recovery. He has a keen interest in statistical machine learning and its applications in social networks, genomics, genetics, and neuroscience. Notably, he was awarded the NSF CAREER award in 2007 and the IMS Tweedie Award in 2009. He was elected as an IMS Fellow in 2011 and has delivered significant plenary lectures, including the IMS Medallion Lecture in 2015 and the IMS Tweedie Lecture in 2009.

Research Interests