Suresh Naidu received a B.A. in Math from the University of Waterloo, received a M.A. from the University of Massachusetts, Amherst and a Ph.D. from the University of California, Berkeley. He is interested in applications of computational linguistics to problems in economic history and political economy. A vast array of digitized historical documents, as old as the printed word, have become available through large-scale scanning projects, allowing new types of historical datasets to be assembled at low cost. This also allows the boundary between qualitative and quantitative history to be crossed, as techniques in natural language processing can be brought to bear on archival sources, allowing for new kinds of readings. For example, with coauthors he has analyzed the dynamics of Congressional speech and political discourse back to 1870, using a digitized version of the Congressional Record. He has also been involved in a project on automated classification of judicial opinions on slavery, and is currently working on a project on detecting political slant in academic writing.