HP and Carnegie Mellon Make Quantum Leaps in Data Science

Wednesday, October 16 | 10:45AM–11:30AM CT | W184bc, Level 1
Session Type: Industry Led
Delivery Format: Industry and Campus-Led Session
Professors and postdoctoral researchers at Carnegie Mellon University, including from the School of Art and the School of Computer Science, are researching electronic and time-based media, automated machine learning, and explainable AI. On-premises GPU-accelerated workstations are being used to test workflow improvements and simulation responsiveness.

Outcomes: Learn how to conduct applied research partnerships * Learn how to link data science technology with next-gen teaching, research, and learning workflows * Learn how to drive thought leadership in higher education


  • Johannes DeYoung

    Assistant Professor, Carnegie Mellon University
  • Justin Khim

    postdoctoral researcher, Carnegie Mellon University
  • Liam Li

    HP Collaborator, Carnegie Mellon University
  • Gus Schmedlen

    Formerly with HPI