MaxKleiman-Weiner is a PhD student in brain and cognitive sciences at MIT and a
member of the Computational Cognitive Science Group. He is investigating models
of social decision making and inference using tools from Bayesian learning and
artificial intelligence. He is particularly interested in hierarchical
nonparametric Bayesian models for representation of structured knowledge and
sampling based approaches to inference (MCMC) in these models. For the past few
years Max has co-organized the Knowledge Base Acceleration (KBA) at the Text Retrieval
Conference (TREC), a part of NIST. He also is a co-founder of Diffeo with
Hertz Fellows John Frank and Dan Roberts, a big data startup in the
Cambridge area focused on entity coreference.
Max graduated in 2009 from Stanford University with a BS in biological sciences,
Phi Beta Kappa, and with honors in neurobiology. As a Goldwater Scholar he
investigated the neural circuits and dynamics that underlie the synchronized
oscillations of sleep and epilepsy. Max was a Marshall Scholar at Oxford from
2009-2011 where he completed an MS in applied statistics and both developed
tools for analyzing the activity and structure of large populations of neurons
and theoretical neural network models.
Moreover, Max has worked extensively in China. First, he was at the Institute of Neuroscience in
Shanghai where he researched the molecular mechanisms of memory enhancement. Then, at the Chinese Academy of Sciences in Beijing as a Fulbright Scholar, where he created statistical models that
describe the effect of micronutrient deficiency on cognitive performance.