Modeling Complex Relationships with High-Performance Algorithms
In a world increasingly connected by invisible threads, the ability to map and analyze relationships across vast networks is becoming essential. Whether it’s determining the fastest delivery route, spotting fraudulent transactions, or recommending products in an e-commerce platform, graphs offer an elegant way to model these complex, often unseen connections. Julian Shun, an associate professor at MIT’s Department of Electrical Engineering and Computer Science (EECS) and a principal investigator at the Computer Science and Artificial Intelligence Laboratory (CSAIL), focuses on developing the algorithms and tools to efficiently analyze such data using high-performance graph processing.
Wilfred
