Ralph D'Agostino

Professor D'Agostino is an internationally-recognized expert in the areas of longitudinal data analysis, multivariate data analysis, biostatistics and robust procedures. Presently Director of the Statistics and Consulting Unit and Executive Director of the M.A./Ph.D. Program in Biostatistics at Boston University, he also is co-Principal Investigator and Director of Data Management and Statistical Analysis of the 50-year old Framingham Heart Study. He has received grants from a variety of governmental and private agencies, including the Robert Wood Johnson Foundation, the Social Security Administration, the National Eye Institute, AFOSR, NIH, NIMH, HHSA, the National Institute of Justice, the National Heart, Lung and Blood Institute, and the NSF.

Ashis Gangopadhyay

Research interests of Professor Gangopadhyay include the general areas of nonparametric and semiparametric function estimation and time series analysis. He has published several research papers addressing fundamental methodological questions related to univariate and multivariate function estimation problems. Many of the techniques developed in these papers answer important issues that arise naturally in fields such as medicine, health care and actuarial science. His papers have been published in journals such as Annals of Statistics, Biometrika, Sankhya, Journal of Nonparametric Statistics, Journal of Statistical Planning and Inference among others. He has been invited to speak in many international conferences, and has advised several Ph.D. students.

Mark Glickman

Professor Glickman's research focuses on statistical methods applied to problems in public health, health services, and cognitive competence. He is currently conducting NIH-funded work on measuring the impact of genetic factors on the onset of cardiovascular diseases. In conjunction with colleagues at the Boston University Department of Health Services, he is modeling physician practice patterns for treatment of hypertensive and diabetic patients. His work in the development of rating systems for measuring player abilities in head-to-head competition has led to their adoption in many online gaming communities.

Eric Kolaczyk

Professor Kolaczyk's general research interest is the statistical modeling of scale and the interpretation of the effects of scale in the analysis of various phenomena. Earlier work centered on the development of wavelet-based methods for non-parametric function estimation from direct and indirect (i.e., inverse problems) data. More recently his work has involved the development of multi-scale probability models and their use in a variety of temporal and spatial data problems for tasks such as estimation, segmentation, and classification. Currently supported by the Office of Naval Research (ONR) and the National Science Foundation (NSF), his efforts include both basic research in theory and methods, as well as a variety of collaborations with colleagues in engineering, geography, and astronomy.

Mark Kon

Professor Kon works in mathematical neural network theory, complexity theory, statistical learning theory, wavelets, and mathematical physics. His current research focuses on learning as a statistical phenomenon in which an intelligent system learns to combine a priori information with current data to form a model of an input-output function to be learned. This area naturally connects to complexity theory, neural network theory, and Bayesian inference, areas in which similar issues are prominent. Prof. Kon and his co-workers focus on connections between these approaches, and more generally on formulation of an approach which unifies them. One major goal of this project is to provide a normative index in which learning algorithms arising from various approaches can be compared in a single setting.

Murad Taqqu

Professor Taqqu's research involves self-similar processes, their connection to time series with long-memory, the development of statistical tests, and the study of non-Gaussian processes whose marginal distributions have heavy tails. He is now focusing on the analysis and modeling of computer traffic. Professor Taqqu is also interested in mathematical finance and the theory of financial risk.