Max Kleiman-Weiner

Hertz Fellow: Max Kleiman-Weiner
School

Massachusetts Institute of Technology

Area of Study

Applied Statistics

Fellowship Years

2011 - present

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.

Awards:

2013 - The Newman Entrepreneurial Initiative
Diffeo, co-founded with Hertz Fellows John Frank and Dan Roberts.