Andrew Gracyk

Welcome to my research page. I am a PhD student in mathematics at Purdue University. I was very fortunate to previously have had mentors of Xiaohui Chen, Paul Atzberger, and Chris Anderson.

I study pure and applied mathematical foundations of artificial intelligence. My research interests can best be categorized as geometric deep learning and deep learning for differential equations, although my research interests are very broad. Recently, I have been doing work in complex geometry and spin glass theory.

Please feel free to contact me. I strongly encourage you to reach out if you have questions, comments, or want to chat about mathematics or otherwise. Do not hesitate to add me on LinkedIn or shoot me an email.

I have partial affiliation to the Center for Computational and Applied Mathematics as one of their graduate students.

At UIUC, I was a fellow for Grainger College of Engineering through DIGIMAT, a research group focused on the interface of data science, statistical physics, and materials science. DIGIMAT is co-hosted by the National Center for Supercomputing Applications and Materials Research Lab.

Previously, I was a member of Atzberger Research Group, a group focused on statistical physics, numerical analysis, scientific computation, and machine learning.

One can reach me by email. My university email is agracyk at purdue dot edu, but my permanent email is andrewgracyk at gmail dot com. Either works great. Please do not send me links or files because I cannot click them. If you’d like to show me a paper, arXiv links are safe.

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A mirror effect in Salar de Uyuni, Bolivia.