The Fifth Duke Research Computing Symposium will take place the afternoon of January 16, 2019, in the Penn Pavilion on Duke’s West Campus. The symposium will highlight research initiatives that use information technologies and digital (sometimes even “big”) data to forge new directions in research, including the University-wide “+DS” initiative and ground-breaking research touching genomics and social behavior in primates.

Two prominent Duke faculty and leaders will speak about their work and how digital data and data science fit into the broader picture of their efforts. The program will include a recounting of progress made in the past year and plans and a vision for future work in research computing. Of course, the symposium will also have its poster session that is open to the entire Duke community, and once again this year the Scholars@Duke visualization challenge will take place. (Refreshments, too, will accompany the usual collegial exchanges.)

Registration is open, so please do! (Or, paste this one in your browser, if you don’t like embedded links: http://duke.is/5reK2c)

This year’s speakers

Headshot of Jenny Tung

Jenny Tung

Jenny Tung, PhD, is Associate Professor of Evolutionary Anthropology and Biology in Duke’s Trinity College of Arts and Sciences and a Faculty Associate of the Duke University Population Research Institute (DuPRI). Her work combines evolutionary anthropology and genomics, and her work has particularly focused on how social hierarchies influence DNA and health. Her work has brought her to Kenya’s Amboseli National Park, where she observed baboons and gathered data on social hierarchy and organization. Her work has shed light on how changes in social rank of female rhesus macaques also changed their immune system response to chronic inflammation, thus linking social rank and biological and gene functions. Health is affected by social status.

Her work is fundamentally interdisciplinary. Jenny was named as one of ten scientists to watch in Science News 

Headshot of Lawrence Carin

Lawrence Carin

Lawrence Carin, PhD, is James L. Meriam Distinguished Professor of Electrical and Computing Engineering in the Edmund T. Pratt School of Engineering and the University’s Vice Provost for Research. Dr. Carin’s early research was in the area of electromagentics and sensing, and over the last 15 years his research has moved to applied statistics and machine learning. He has recently served on the Program Committee for the following machine learning conferences: International Conf. on Machine Learning (ICML), Neural and Information Processing Systems (NIPS), Artificial Intelligence and Statistics (AISTATS), and Uncertainty in Artificial Intelligence (UAI). He was previously an Associate Editor (AE) of the IEEE Trans. on Antennas and Propagation, the IEEE Trans. on Signal Processing, and the SIAM J. of Imaging Science. He is currently an AE for the J. of Machine Learning Research. He is an IEEE Fellow.

Dr. Carin has spearheaded Duke’s “+ Data Science” initiative, marshaling campus resources and creating new opportunities for researchers across the univeristy to use data science methods in their work. See https://plus.datascience.duke.edu/ for more information.

Poster session and Scholars@Duke Visualization Competition 

The symposium is a friendly and accessible gathering of scholars and scientists, who can exchange information about their work and build connections. And the annual poster session is a big part of that. More information is available on prizes and how to take part. If you’re familiar with the process of submitting a poster last year, you’ll be a pro this year.

REGISTER FOR THE SYMPOSIUM TODAY!