Boston University and Warwick Business School
Chester Curme earned a B.A. in Physics and Mathematics from Middlebury College and a Ph.D. in Physics from Boston University. His research interests include interdisciplinary applications of statistical physics and network science. He has held research fellowships at Boston University and Warwick Business School, and is currently a quantitative analyst at Loomis, Sayles & Co.
In this paper, the authors use a topic-modeling approach to quantify the changing attentions of a major news outlet, the Financial Times, to issues of interest.