Welcome to my website!

I am a PhD student at UW-Madison advised by Prof. Krishnan Suresh at the Engineering Representations and Simulation Lab.

My research lies at the intersection of engineering design, machine learning, and topology optimization. I have developed a novel approach for representing engineering materials and catalogs using neural networks (autoencoders) which enables visualization, optimal selection and customization. Additionally, I have explored using implicit neural networks for geometric representation and automatic differentiation in the design of microstructures and designs that span multiple scales via topology optimization.

I believe that utilizing optimization techniques and machine learning can not only enhance engineering design, but also provide valuable understanding and insights for engineers and practitioners.

Explore more details about my work by checking the publications and talks tabs, and my contact details on the sidebar. You can download a copy of my CV from the CV section.