Summer School: Scientific Machine Learning

August 4, 2025 - August 8, 2025

Organizers:

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Ke Chen
University of Maryland
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Ling Liang
University of Maryland
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Deep Ray
University of Maryland
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Haizhao Yang
University of Maryland

The school will aim to familiarize participating students with state-of-the-art machine learning tools and frameworks, with a special focus on deep learning, to address challenges in computational mathematics and engineering. The focus will be on the theory and analysis of these methods, their practical implementation, and their effectiveness (and challenges) when used for solving real-world problems. The event will feature talks by leading experts in the field and provide opportunities for students to engage with them, share perspectives, and exchange ideas. Throughout the week, students will work on mentored, small-scale SciML projects and present their findings in a short presentation at the end of the school.



Speakers:

  • Nicholas Boffi, Carnegie Mellon University
  • Benjamin Grimmer, Johns Hopkins University
  • Shirley Ho, NYU & Simons Foundation
  • Wuchen Li, University of South Carolina
  • Lu Lu, Yale University
  • Yulong Lu, University of Minnesota
  • Romit Maulik, The Pennsylvania State University
  • Yifei Mo, University of Maryland
  • Assad Oberai, University of Southern California
  • Tan Bui-Thanh, University of Texas-Austin
  • Yixin Wen, University of Florida
  • Kaiqing Zhang, University of Maryland

Poster:

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