Julian McAuley will discuss his lab's experience working at the interface between natural language processing, personalization, and clinical machine learning. Following a short overview of his research, McAuley will spend most of the talk describing his experience getting into clinical research (as a machine learning researcher with no clinical experience), including navigating advising, collaboration, fundraising, data access, and more.

Julian McAuley is a Professor at UC San Diego, where he works on applications of machine learning to problems involving personalization, and teaches classes on personalized recommendation. His research focuses on the linguistic, temporal, and social dimensions of opinions and behavior in social networks and other online communities. McAuley has harnessed data science tools to increase understanding the facets of people’s opinions, the processes that lead people to acquire taste for gourmet foods and beers, and even the visual dimensions of how they make fashion choices. In his free time he likes bicycling and baroque keyboard.