Tony Chan - Former president of KAUST and HKUST
Tom Hou - Charles Lee Powell Professor of Applied and Computational Mathematics, California Institute of Technology
David Kan - Vice President of Sales, COMSOL Inc.
Richard Sharp - Senior Principal Data Scientist, Cambridge Mobile Telematics
Karen Willcox - Director, Oden Institute for Computational Engineering and Sciences
The rapid integration of artificial intelligence into computational mathematics is transforming the way we model complex systems, solve large-scale problems, and advance scientific discovery. From AI-driven numerical solvers to machine-learning-assisted theorem proving, the synergy between AI and computational methods is reshaping the field in profound ways.
This panel will explore the impact of AI on scientific computing, numerical analysis, and mathematical modeling, addressing both the opportunities and challenges it presents. Additionally, we will discuss the evolving skill set needed for careers in computational mathematics, whether in academia, industry, or national laboratories. What programming and analytical tools will be essential for the next generation of computational mathematicians? How can researchers effectively integrate AI-driven techniques into traditional workflows while maintaining mathematical rigor?
Join us for an insightful discussion with experts from across the field as we examine the future of computational mathematics in an AI-augmented world.