Keynote Speakers

Keynote: Alan E. Gelfand
 
We are excited to announce that Professor Alan E. Gelfand will present the MSSISS 2019 keynote address. Alan E. Gelfand is The James B Duke Professor of Statistical Science at Duke University. He is the former chair of the Department of Statistical Science (DSS) and enjoys a secondary appointment as Professor of Environmental Science and Policy in the Nicholas School.

Date: March 29 Friday

Location: Palmer Common

Abstract:

Title: TBD

TBD

Bio:

Alan E. Gelfand is The James B Duke Professor of Statistical Science at Duke University.  He is the former chair of the Department of Statistical Science (DSS) and enjoys a secondary appointment as Professor of Environmental Science and Policy in the Nicholas School. Author of more than 290 papers (more than 230 since 1990), Gelfand is internationally known for his contributions to applied statistics, Bayesian computation and Bayesian inference.  (An article in Science Watch found him to be the tenth most cited mathematical scientist in the world over the period 1991-2001).  Gelfand is an Elected Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the International Society for Bayesian Analysis.  He is an Elected Member of the International Statistical Institute.  He is a former President of the International Society for Bayesian Analysis and in 2006 he received the Parzen Prize for a lifetime of research contribution to Statistics.  In 2012, he was chosen to give the distinguished Mahalanobis lectures.  In 2013, he received a Distinguished Achievement Medal from the ASA Section on Statistics in the Environment.

Gelfand’s primary research focus for the past twenty years has been in the area of statistical modeling for spatial and space-time data.  Through a collection of more than 140 papers he has the advanced methodology, using the Bayesian paradigm, to associate fully model-based inference with spatial and space-time data displays.  His chief areas of application include environmental exposure, spatiotemporal ecological processes, and climate dynamics.  He has four books in this area, including the successful “Hierarchical Modeling and Analysis for Spatial Data” with Sudipto Banerjee and Brad Carlin (now second edition),  “Hierarchical Modeling for Environmental Data; Some Applications and Perspectives” with James Clark, and the “Handbook of Spatial Statistics” with Peter Diggle, Montserrat Fuentes, and Peter Guttorp.  He also has a forthcoming “Handbook of Environmental and Ecological Statistics” with Montserrat Fuentes, Jennifer Hoeting, and Richard Smith.

Michigan Junior Faculty Keynote: Ceren Budak
We are excited to welcome Assistant Professor Ceren Budak as the MSSISS 2019 Thursday evening junior faculty speaker.

Date: March 28 Thursday

Location: Rackham

Abstract: TBD

TBD

Bio:

Ceren Budak is an Assistant Professor at the University of Michigan School of Information. Before that, she was a Postdoctoral Researcher at Microsoft Research New York. She received her Ph.D. from the Computer Science Department at the University of California, Santa Barbara in December 2012. She received her Bachelor’s degree from Computer Science Dept. @Bilkent University in Turkey in 2007.

Her research interests lie in the area of computational social science; a discipline at the intersection of computer science, statistics, and the social sciences. She is particularly interested in applying large-scale data analysis techniques to study problems with social, political, and policy implications.