The Springer Math Podcast
Women in Mathematics: Past, Present and Future. Kathryn Leonard interviewed by Dahlia Fisch
Aug 12, 2021
The podcast covers topics such as shape understanding in computer science, celebrating 50 years of support for women in mathematics, challenges in international collaboration, career paths in mathematics, artistic escapes during the pandemic, and reflecting on past challenges with hope for the future.
33:45
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Quick takeaways
- Kathryn Leonard's research bridges neural networks and human understanding in computer graphics.
- AWM is dedicated to advancing women in math through online seminars and diverse editorial boards.
Deep dives
Research and Work in Mathematics
Katherine Leonard discusses her transition from number theory to applied math, focusing on geometric modeling for computer graphics and computer vision. She outlines her research on shape understanding and interpretable machine learning, aiming to bridge the gap between neural networks and human comprehension.
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