Topical Group on Data Science

Data science is a fast-growing and highly interdisciplinary field that is at the intersection of statistics, computer science, and mathematics. Applications of data science in engineering and both physical and life sciences are countless and increasing.

News & Announcements

GDS Virtual March Meeting Sessions #5 and #6

Topical Group on Data Science is hosting its next webinars on Friday, April 3, 2020 and Friday, April 10, 2020.

Please register and join us for another series of exciting talks at the intersection of machine learning and physics:

1) GDS Virtual Session - Autonomous Experimentation Tutorial - April 3:


  • 1:00 - 1:05 ET | Welcome!
  • 1:05 - 2:05 ET | Daniel Samarov & Valentin Stanev - Gaussian Processes
  • 2:05 - 3:05 ET | Gilad Kusne - Active Learning in Experimental Systems
  • 3:05 - 4:05 ET | Boris Kozinsky - Active Learning of Molecular Dynamics Force Fields

2) GDS Virtual Session - Data Science Education - April 10:


  • 4:00 - 4:05 ET | Welcome!
  • 4:05 - 4:41 ET | Amir Shahmoradi - Deep Learning Data Science Competencies to Promote Workplace Readiness
  • 4:41 - 5:17 ET | Mohammad Soltanieh-ha - Data Science Tools in the Classroom

We understand this time may not work for all time zones, but please register even if you are not able to attend. We will record the talks (when possible) and send you a link after the session. You may find the recording to our past webinars on this playlist:

YouTube Link
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GDS to Host a Series of Virtual Sessions

GDS is setting up a series of weekly, one-hour webinars for GDS-related March Meeting content to be presented online in the coming months, starting Thursday, March 5th, 2020.

The series will feature a short course on deep learning for image processing, a tutorial on active learning and AI, as well as invited and contributed talks all of which were supposed to take place at the March Meeting.

Register your availability and interest in speaking


Read the GDS Winter 2020 Newsletter

Past News & Announcements