Christopher J. Long

My work focuses on the development of computational statistical approaches for the analysis of brain imaging in several economic and clinical applications. Methodologically, my interests include statistical methods for large datasets, inverse problems in imaging, multiresolutional signal processing and time-series analysis. Most recently I have been involved with a forecasting project at Sloan, funded by IARPA. This project seeks to develop, extend and apply novel Bayesian and game-theoretic methods (for example the Bayesian Truth Serum) to the problem of aggregating crowd-based opinion for the purposes of event prediction. Before coming to MIT, I worked on imaging problems in the pharmaceutical industry and academia (fMRI,MEG,EEG) as a Lecturer (Assistant Professor) in Imaging Sciences at Imperial College London.

© 2013 MIT Sloan Neuroeconomics Lab