Howdy!

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I’m Cassandra Jacobs. I am a postdoc working in the Ferreira Lab at UC Davis. I received my PhD from the Cognitive Psychology program at UIUC and, slightly further back, completed my MS in the  Computer Science program as well. I am also a regular contributor to the Psychonomic Society blog, where we talk about new papers coming out in the PS’s journals. From 2016 to early 2018, I was also a data scientist working on super cool natural language processing problems at Stitch Fix.

My research focuses on how recent experience affects how people represent complex categories like familiar sequences of words, retrieve them during language production and predict them for comprehension. My work in natural language processing employs both speech processing and text analytics to learn the properties of objects for knowledge representation and to identify useful concepts in the form of multiword expressions. I am especially interested in identifying why it is hard for computers learn these categories but relatively easy for people to do so as a way to inform better algorithms to do this automatically. I also care a lot about building and maintaining bridges between academic and research communities, and am passionate about mentoring graduate students with their career decisions.

If you have any questions or would like to request more information about any of the projects or the resources behind them, I like e-mail — jacobs dot cassandra dot l@gmail.com. I also have a Twitter @BayesForDays and a github!