Data Science Community announces fall 2021 talk series

September 15, 2021

From the U.S. Constitution to next-generation radio telescopes, and from genomic imaging to knitted textile design, the fall 2021 Data Science Community virtual talk series will showcase the many ways that Penn State researchers and educators are applying data science to advance their work. The series of talks is open to Penn State community members, and advance registration is required.

The series, which will take place virtually, kicks off on Sept. 22 and will continue through November. Talks include:

Sept. 22, 3 to 4 p.m.:

  • “Big Data Squared: Imaging Genomics” (Nicole Lazar, professor of statistics)
  • “Making Images with Radio Telescope Interferometers” (Ian Czekala, assistant professor of astronomy and astrophysics, and Institute for Computational and Data Sciences co-hire)

Oct. 12, 3 to 4 p.m.:

  • “Fast, Economical & Scalable AutoML” (Qingyun Wu, assistant professor of information sciences and technology)

Nov. 2, 10 to 11 a.m.:

  • “Form Finding for Architectural Knitted Textiles” (Felecia Davis, associate professor of architecture and Carey Memorial Early Career Professor in the Arts; and Farzaneh Oghazian, doctoral student)
  • “Developing data science tools for cryosphere studies” (Shujie Wang, assistant professor of geography)

Nov. 12, 11 a.m. to noon:

  • “The Big Data Constitution” (Margaret Hu, associate dean for non-JD programs, professor of law and international affairs, and ICDS Co-Hire)
  • “Imaging and Art History” (James Wang, professor of information sciences and technology; and Elizabeth Mansfield, professor and head of the Department of Art History)

Anyone interested in attending can register in advance on the Data Science Community events page.

The Data Science Community is a grassroots initiative supported by Penn State's Teaching and Learning with TechnologyInstitute for Computational and Data Sciences and University Libraries. To learn more about Data Science Community events or to join the community mailing list, visit https://datascience.psu.edu.

(Media Contacts)

Last Updated September 15, 2021