Julian J. McAuley
Asst Professor, Computer Science and Engineering
Recommender systems, machine learning, data mining, graphical models
McAuley’s research focuses on the linguistic, temporal, and social dimensions of opinions and behavior in social networks and other online communities. This includes understanding the facets of people's opinions, the processes by which people "acquire tastes" for gourmet foods and beers, or even the visual dimensions that make clothing items compatible. He is perhaps best known for analyzing massive volumes of user data from online social communities including Amazon, Yelp, Reddit, Facebook, and BeerAdvocate.
Before joining the Department of Computer Science and Engineering at UC San Diego, McAuley was a postdoctoral researcher at Stanford University from 2011 to 2014. He earned a Ph.D. from the Australian National University in 2011.