2025 IDIES Annual Symposium

Description

In keeping with its mission to promote interdisciplinary collaboration, the Institute for Data-Intensive Engineering and Science (IDIES) Annual Symposium aims to bring together researchers—from all disciplines—who use big data. Experts in the theoretical foundations, development, and application of data-intensive technologies will share discoveries, practical ideas, and insights as they relate to big data research.

This full day of big-data-related programming will include three keynote speakers, updates on IDIES-funded seed grant and student summer fellowship projects, the latest news from other data-intensive organizations and institutions, a poster gallery, networking opportunities, and more. Lunch will be provided.

About This Year's Keynote Speakers

Stu Feldman is the president of Schmidt Sciences, the former vice president of engineering on the East Coast at Google, and the former vice president of computer science at IBM Research. Schmidt Sciences financially supports the Scientific Software Engineering Center (SSEC) at Johns Hopkins University as part of their Virtual Institutes for Scientific Software initiative (VISS). Feldman is known for creating Make, the CLI tool, as well as the first Fortran compiler.

Beth Willman is the CEO of the Legacy Survey of Space and Time (LSST) Discovery Alliance and former deputy director of the Rubin Observatory construction project. The LSST at the Vera C. Rubin Observatory is a wide-field, sky-mapping survey that aims to unlock the secrets of dark matter, cosmic evolution, and transient phenomena. Using the largest digital camera ever built, the survey will capture continuous and comprehensive imagery of the entire night sky for the next 10 years, beginning with its stunning first-light images taken in June 2025.

François Lanusse is a cosmologist and astrostatistician at the Centre National de la Recherche Scientifique (French National Center for Scientific Research or CNRS) and a guest researcher of the Flatiron Institute. Lanusse's polymathic AI project for astronomical observations was selected as one of the inaugural projects to utilize France's Jean Zay supercomputer.