Date: April 4, 2012
Andrew Gelman is one of the leading quantitative researchers at the interface of social science and statistics. He is currently a professor of statistics and political science and director of the Applied Statistics Center at Columbia University. He has received numerous honors for his work, including the Outstanding Statistical Application award from the American Statistical Association, the award= for best article published in the American Political Science Review, and the Council of Presidents of Statistical Societies award for outstanding contributions by a person under the age of 40. Andrew has written several books. He is also well known for his blog, "Statistical Modeling, Causal Inference, and Social Science", which covers topics such as data analysis, statistical graphics, politics, social science and academics in general. Andrew received his undergraduate degrees in math and physics at MIT and his PhD in statistics from Harvard.