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Gianluca Bencomo

Computer Science Graduate Student at Princeton University

I am a graduate student at Princeton University where I am currently advised by Tom Griffiths.

I am interested in probabilistic models that capture the properties of realistic environments and human cognitive limitations. That is, I study systems that (1) have limited storage, (2) observe complex multi-task distributions, and (3) observe primarily slow task shifts with stochastic shifts that are more rapid, but less frequent. I believe this reflects an inherently 'human' class of problems. Methods of interest include Bayesian nonparametrics, Bayesian filtering, and MCMC.

I did my undergraduate coursework at Whittier College, where I studied Biochemistry, and held a two-year appointment with the Born Lab where I studied visual perception. More details regarding my qualifications, and research experiences, can be found here.