Professor Rebecca Steorts was awarded a grant from the Alfred P. Sloan Foundation. The grant improves upon methods in entity resolution using state-of-the-art techniques from statistics and machine learning, including the development of scalable and distributed models, including open source software, for entity resolution. read more about Rebecca Steorts awarded grant from Sloan Foundation »
Duke held a successful Industry Day, organized by the MS program in Statistical Science and the MS program in Computer Science.
Participating companies and programs included representative from Applied Research Assoc, Asurion, Conduent, Elder Research, RTI International, Seqirus, Well, PhD program at Statistical Sci. read more about Master's Program Industry Day Proves Successful »
A Duke statistician is part of a three-member team awarded $13.8 million by the European Research Council to conduct a planet-wide inventory of life over six years, with particular emphasis on insects and fungi.
David Dunson, the Arts & Sciences Professor of Statistical Science, received notification of the award this month. His expertise in managing big data and the development of novel statistical methodologies will help interpret a collection of DNA, audio samples and camera trap images from over 450 locations around… read more about Statistician Receives European Research Council Grant to Aid in Mapping Biodiversity Around the Globe »
Statistical Science PhD alum Lorin Crawford (2017) was named on The Root 100 list, the online magazine’s “annual list of the most influential African Americans, ages 25 to 45. It’s our way of honoring the innovators, the leaders, the public figures and game changers whose work from the past year is breaking down barriers and paving the way for the next generation.” Lorin is an assistant professor of biostatistics at Brown University. read more about Lorin Crawford named on The Root 100 »
Award makes Duke a National Science Foundation center for data/statistical science
A Duke University team led by professor of statistical science and mathematics Sayan Mukherjee has won a three-year, $1.5 million dollar grant that will develop the foundations of data science both at Duke and in the broader NC Research Triangle and surrounding region.
As part of the award, 25 Duke faculty from the departments of computer science, electrical engineering, mathematics, and statistical science will collaborate to develop new… read more about Duke Researchers Awarded $1.5M Tripods Grant »
TheTRIPODS@Duke Phase I project will develop the foundations of data science both at Duke University and in the broader NC Research Triangle and surrounding region . A total of 25 faculty at Duke representing the disciplines of Computer Science, Electrical Engineering, Mathematics, and Statistical Science will be involved in Phase I. The project will support five semesters of workshops, with 2-3 one-week workshops each semester. These workshops will involve local and national participants and will bring experts on data… read more about Duke Awarded TRIPODS Grant »
Professor Amy Herring is the recipient of the 2019 Janet L. Norwood Award. The award recognizes outstanding career achievement by a woman in the statistical sciences. Herring will be honored at a dinner September 10 in Birmingham, and will meet with students and young faculty at The University of Alabama - Birmingham. More details on the award are at https://www.soph.uab.edu/awards/norwoodaward/eighteenth. read more about Amy Herring receives Janet L. Norwood Award »
Simon Mak (and collaborators from the School of Aerospace Engineering at Georgia Tech) received the 2019 Statistics in Physical and Engineering Sciences (SPES) Award from the ASA, for the paper “An Efficient Surrogate Model for Emulation and Physics Extraction of Large Eddy Simulations”. The SPES Award is awarded annually to a distinguished paper for its innovative use of statistics to solve a high-impact problem in the physical and engineering sciences. This paper is published in the Journal of the American Statistical… read more about Simon Mak receives SPES Award »
David Dunson and colleagues received the 2018 Mitchell Prize for their paper, Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax. The paper appeared in the Journal of the American Statistical Association. The Mitchell Prize is awarded in recognition of an outstanding paper that describes how a Bayesian analysis has solved an important applied problem. read more about David Dunson receives the 2018 Mitchell Prize »
Bob Eisinger received his Ph.D from the University of Illinois at Urbana-Champaign and has spent the last three years teaching at St. Olaf College in Northfield, Minnesota. His research interests include statistical inference on categorical data, statistical computing, and applied statistics. He will be teaching STA 111/130 in Fall 2019.
Bob's office will be in 204 Old Chemistry so please stop by and introduce yourself and welcome him to the department. read more about Bob Eisinger joins Statistical Science »
Shawn joins us from Lansing, Michigan where he received his doctoral degree in Statistics at Michigan State University. He served as instructor at Michigan State University for the 2018-2019 academic year, where he taught a Computational Statistics course and he developed a data science course for the department's new Data Science degree program. Shawn's interests include Statistical computing and data science, Statistics education, Inference of high-dimensional dependent data, & Applied problems in finance,… read more about Shawn Santo joins Statistical Science »
Ken Land, a professor of sociology at Duke and long time friend of the Department of Statistical Science, has received the Eric Siegel Award for being the best book reviewed in 2018 in the journal Technometrics. The book is Biodemography of Aging: Determinants of Healthy Life Span and Longevity, published in 2016 by Springer. Ken's co-authors include Anatoliy Yashin and Eric Stallard. Congratulations, Ken! read more about Friend of StatSci and Duke sociology professor Ken Land gets Technometrics award »
Simon joined Statistical Science as an Assistant Professor in Fall 2019, after a one-year post-doc at Georgia Tech. He received his Ph.D. in Industrial Engineering from Georgia Tech in 2018 (majoring in Statistics, minoring in Operations Research), and his B.Sc. from Simon Fraser University in 2013 (majoring in Statistics and Actuarial Science). His interests include (but not limited to) developing practical methodologies with theoretical guarantees for “big data” and “small data” analytics, both of which are important for… read more about Simon Mak joins Statistical Science »
Alan Gelfand has been named the recipient of the 2019 Samuel S. Wilks Memorial Award. The Wilks Memorial Award is awarded by the American Statistical Association. The selection criteria state, “The Wilks Award is bestowed upon a distinguished individual who has made statistical contributions to the advancement of scientific or technical knowledge, ingenious application of existing knowledge, or successful activity in the fostering of cooperative scientific efforts that have been directly involved in… read more about Alan Gelfand receives Samuel S. Wilks Memorial Award »
Undergraduate awardWinner: Bihan Zhuang (pictured here) for her research on Entity resolution with an application to the El Salvador conflict
Honorable mention: Srini Sunil (pictured here) for his research on Bayesian forecasting and decision theory.
Master’s awardWinner: J.C. Lazzaro (pictured here) for his research on Forecasting the term structure of interest rates: A Bayesian dynamic graphical modeling approach… read more about 2019 BEST Award Winners »
Each year the Department of Statistical Science honors three outstanding teaching assistants for their strong contributions to the educational mission of the department. Teaching assistants are a vital part of our educational program, helping students in many ways ranging from teaching their own weekly lab sessions to providing individualized tutoring in office hours, and in many cases even preparing their own instructional materials and covering lectures when instructors are called away to present at conferences or in… read more about 2019 TA Award Winners »
Mike West is the distinguished speaker at the annual Spring Lecture Series in the Mathematical Sciences at the University of Arkansas, April 18-20th 2019. The NSF-supported Spring Lecture Series in the Mathematical Sciences has been running annually since 1977. This is the first time that the focus has been on topics in statistics. More details of the broader conference as well as Mike’s lectures are available from the conference web site. read more about Mike West is distinguished speaker in Mathematical Sciences Spring Lecture Series »
Over the past year I have had the privilege to work on an interdisciplinary Bass-Connections team working to quantify gerrymandering. Our aim is to turn gerrymandering from a subjective discussion about how squiggly a district looks, into a rigorous mathematically formulated problem. At a high level, we try to define what a ‘normal’ , non-partisan map would look like. This gives a baseline to compare an enacted plan to. We do this by constructing tens of thousands of maps of North Carolina. These maps follow all of the… read more about Statistical Science undergraduate Jacob Shulman at the Supreme Court! »
Professor David Dunson will deliver one of the Medallion lectures at the 2019 Joint Statistical Meetings. The Medallion lectures are sponsored by the Institute of Mathematical Statistics (IMS). They are one of the IMS's highest honors.
For a summary of the award and the topic of Professor Dunson's lecture, see the latest issue of the IMS bulletin. read more about David Dunson to deliver 2019 IMS Medallion lecture »
The Department of Statistical Science at Duke University is inviting applications for a Postdoctoral Associate in statistical science with Professor Rebecca Steorts (https://resteorts.github.io/. The Associate will work on methodological research related to one or more of the following topics, depending on the candidate's interests: (1) entity resolution (record linkage and de-duplication), including building new methodology for entity resolution and evaluating such method on both simulated and real data, (2) exploring… read more about The Department of Statistical Science at Duke University is inviting applications for a Postdoctoral Associate »