Our colleague and alum Hedibert Lopes (Duke StatSci PhD 2000) has been appointed as the Charles Wexler Distinguished Professor of Statistics in the School of Mathematical and Statistical Sciences at Arizona State University. Please join us in congratulating Hedibert on his new position and in looking forward to the coming years in statistical science and especially for Bayesian analysis at ASU. read more about PhD Alum Hedibert Lopes named a distinguished professor at ASU »
At the International Society for Bayesian Analysis (ISBA) 2021 World Meeting, multiple Duke Statistical Science PhD students were among the 21 selected to receive the “Best Student/Postdoc Contributed Paper Award”. The awards are sponsored by the National Science Foundation. Each award is accompanied by a monetary prize and a certificate. The StaSci winners’ contributions are listed below.
Alessandro Zito (Current PhD student at Duke Statistical Science) … read more about Multiple StatSci Winners of the ISBA Student/Postdoc Contributed Paper Awards »
PhD student Anna Yanchenko won the Best Student Presentation Award of the Industrial Statistics Section, International Society for Bayesian Analysis (ISBA), at the recent ISBA World Meeting.
Anna won the award based on her presentation of research in the paper on “Hierarchical Dynamic Modeling for Individualized Bayesian Forecasting.” read more about Anna Yanchenko wins best presentation award »
Duke Statistical Science professor Beka Steorts has been selected to deliver the Washington Statistical Society Presidents' annual invited lecture. Professor Steorts will discuss her work on, "Entity Resolution with Societal Impacts in Statistical Survey Methodology, Statistical Science, and Machine Learning." The lecture will be on June 24 over Zoom; see flyer for details including the Zoom link. read more about Beka Steorts to deliver WSS Invited Lecture »
Duke Statistical Science PhD alumnus Kelly Moran, postdoc Sharmistha Guha, and postdoc Tommaso Rigon have been named 2020 Savage Awards Finalists. The Savage Award, named in honor of Leonard J. “Jimmie” Savage, is bestowed each year to two outstanding doctoral dissertations in Bayesian econometrics and statistics, one each in Theory & Methods and Applied Methodology. Kelly and Sharmistha were named in the category Applied Methodology, and Tommaso was named in the category Theory and Methods. All finalists present… read more about Duke StatSci Savage Award Finalists! »
When he was an undergraduate political science student, Kerry Haynie was never taught about the 1921 Tulsa massacre. Nor was there much discussion about the role of race in the founding political documents of this country or much examination of how race influenced public services such as sewer lines and zoning.
In one sense, a lot has changed. In 2021, Duke’s faculty includes a strong lineup of leading scholars who examine how race is embedded in issues that cross all the schools of the university. This fall, many of… read more about University Course Raises Race as a Central Element of Undergraduate Education »
We as a department would like to congratulate the 38 students who graduated with a Master's in Statistical Science (MSS) in Spring 2021! While earning an MSS degree at Duke is challenging enough on its own, the MSS Class of 2021 had to complete approximately three-quarters of their degree during a pandemic, and they rose to the challenge. They worked hard, overcame many obstacles, and impressed everyone with their intelligence, perseverance, and commitment.
We would also like to recognize a few outstanding students who… read more about MSS Program Graduates 38 Statistical Scientists »
DataFest 2021 at Duke was one of over thirty virtual ASA DataFest events that took place in Spring 2021. DataFest is a data analysis competition sponsored by the American Statistical Association; students work in teams to analyze a surprise and complex data set over a weekend. This year, Duke’s participants included over 250 students representing 12 colleges and universities.
The surprise data set from Rocky Mountain Poison & Drug Safety included responses from the United States, Canada, and Germany about drug use and… read more about DataFest 2021 at Duke »
Each fall, the Consortium for the Advancement of Undergraduate Statistics Education (CAUSE) and the American Statistical Association host the Undergraduate Class Project Competition. Teams from across the globe submit projects completed in an introductory or intermediate statistics class, which are then judged on their accuracy, clarity and significance.
In 2020, Duke students, mentored by professors Maria Tackett and Yue Jiang, swept the top three places of the introductory category, along with both honorable mentions.… read more about Undergraduate Thesis Projects Show Just How Versatile the Study of Statistics Can Be »
In Spring 2021 the Department of Statistical Science was awarded an $11,000 grant from the Trinity Research Enhancement (TRE) Fund, a program by the Office of Academic Affairs to support undergraduate research and senior thesis projects. The goals for the 2021 award are to make ongoing undergraduate research initiatives in the department more sustainable and to support a new workshop aimed at getting students involved in research early in the statistics curriculum. The Principal Investigator is Assistant Professor of the… read more about Department awarded grant to support undergraduate research initiatives »
Six members of the Class of 2022 have been named to the inaugural class of Nakayama Scholars. Juniors Sydney Albert, Carlee Goldberg, Erica Langan, Yi Xian “Lyndon” Lee, Ahn-Huy Nguyen, and Micalyn Struble were chosen for their stellar academics, leadership and demonstrated commitment to a career in public service.
The Nakayama Public Service Scholarship is part of the university’s efforts to encourage students to use their Duke experience to engage with the large challenges facing communities around the world.
The… read more about Six Students Named Inaugural Nakayama Public Service Scholars »
Statistical Science postdoctoral associate Yuqi Gu has received a 2021 Institute of Mathematical Statistics New Researcher Travel Award. These awards fund travel and possibly other expenses to present a paper or a poster at an IMS sponsored or co-sponsored meeting. Yuqi is working with David Dunson. read more about Yuqi Gu received IMS New Researcher Travel Award »
Assistant Research Professor Jacob Smith’s book, Minority Party Misery, has been published and released by the University of Michigan Press. Minority Party Misery examines the role of minority party status on politicians’ engagement in electoral politics. Jacob argues that political actors pull back from electoral politics as it becomes increasingly likely that they will be in the minority in a legislative body, particularly under conditions of high polarization and party unity. Politicians whose party will be in… read more about Jacob Smith’s book, Minority Party Misery, published and released »
Alexander Volfovsky, Assistant Professor of Statistical Science at Duke University, has been awarded a prestigious National Science Foundation Faculty Early Career Development (CAREER) Award. The award supports outstanding young faculty members in their efforts to build a successful research enterprise.
For the next five years, the award will support his work on the design and analysis of experiments for complex social processes. Broadly, modern scientific inquiry from the social to the health sciences centers around… read more about Alex Volfovsky awarded NSF CAREER grant »
PhD Student Xu Chen received the Graduate School Katherine Goodman Stern Fellowship for his research focuses on developing a better method for monitoring and predicting extreme events, which could have numerous scientific applications. More on his work. read more about PhD Xu Chen Receives Fellowship »
DURHAM, N.C. -- Even if you can’t name the tunes, you’ve probably heard them: from the iconic “dun-dun-dun-dunnnn” opening of Beethoven's Fifth Symphony to the melody of “Ode to Joy,” the German composer’s symphonies are some of the best known and widely performed in classical music.
Just as enthusiasts can recognize stylistic differences between one orchestra’s version of Beethoven’s hits and another, now machines can, too.
A Duke University team has developed a machine learning algorithm that “listens” to multiple… read more about Machine Learning Meets the Maestros »
On February 24th, students in the Statistical Science department’s ProSeminar course participated in a seminar conducted by Dr. Melissa Bostrom. Dr. Bostrom, who is the Assistant Dean of Graduate Student Professional Development at Duke, directs the Professional Development Series, Emerging Leaders Institute, and the Duke OPTIONS project, all of which aid in preparing Graduate School students to perform as effective leaders at Duke and in their professional careers.
As a leader in the professional development space, Dr.… read more about MSS Students Attend Professional Development Workshop »