I’m Gabriel Recchia, a research associate at the University of Cambridge. I’ll soon be taking up a role at the University’s Winton Centre for Risk and Evidence Communication, where I’ll be researching how best to communicate information about risks and benefits and evaluating tools for doing so, such as the NHS’s Predict website. I’ll also be continuing my work on distributional models and their applications in the cognitive and social sciences.
Until then, I’m continuing my work at the Centre for Research in the Arts, Social Sciences and Humanities, where I developed computational methods for the analysis of large corpora of historical texts, and investigated conceptual change by attending to shifting statistical associations between words over time. I received my bachelor’s degree in Symbolic Systems from Stanford University in 2007, and my doctorate is in Cognitive Science at Indiana University, with a minor in computational linguistics. My graduate research concerned the development of interpretable computational models of semantic memory and how the statistical structure of the environment interacts with learning mechanisms to produce complex behavior.
I’m also passionate about the potential of games and adaptive game-like systems. I’m especially interested in games that build positive habits, facilitate mindfulness, or are especially creative in terms of their mechanics or overall gestalt. More information about games that I am developing (and have developed) is available on the Games page. Research tools are available on the Tools page. Publications, skills, and previous employers are listed on my CV.