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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 scientific machine learning, physics-informed learning, geometric deep learning, and deep learning for differential equations (ODEs, PDEs, SDEs), although my research interests are broad and intersect other areas of mathematics but in ML.

Please do feel free to reach out. Please do feel free to add me on LinkedIn if you think you know me from somewhere, or please do feel free to shoot me an email.

At UIUC, I was affiliated with the 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. Also, I receive a lot of mass email, so it is possible (but unlikely) unfamiliar email is overlooked. LinkedIn is a great place to contact me.

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The Isle of Eigg in Laig Bay, Scotland