
Miles Cranmer is a Ph.D. candidate at the University of Princeton. He is working on the interplay between astrophysics and AI.
We talk about Symbolic Regression, Genetic Programming, and the peculiarities of Julia, the programming language, comparing it with C++ and Python.
We then talk about his approach in studying new programming language features and about how to balance exploration versus exploitation. We largely discuss his work at Deepmind, outlining graph- and Lagrangian-Neural Networks, particularly in relation to the ability to investigate chaotic motion in dynamical systems.
LINKS:
https://astroautomata.com
https://web.astro.princeton.edu/people/miles-cranmer
https://github.com/MilesCranmer
RESOURCES:
Anchor: https://anchor.fm/poincare-podcast
Youtube: https://www.youtube.com/watch.v
RSS: https://anchor.fm/s/84561ce0/podcast/rss
Linktree: https://linktr.ee/poincaretrajectories
Company: https://www.linkedin.com/company/poincaretrajectories/