Aditya Chetan is a PhD student and Graduate Research Assistant at Cornell University with a strong foundation from IIIT-Delhi in Computer Science and Applied Mathematics and roughly nine years of combined research and industry experience. His work sits at the intersection of machine learning, computer vision, and geometry processing, with internships and research roles at Microsoft, Adobe, Max Planck, and The Fields Institute that produced novel approaches to implicit surface smoothing and applied ML systems. He has taught foundational computer vision courses at Cornell and built practical NLP and clinical-information extraction pipelines in industry, demonstrating an ability to move between theory and production. Aditya contributes to open source and maintains a public technical portfolio (justachetan.github.io), reflecting a habit of turning research prototypes into shareable tools. Notably, his early work revealed connections between mean curvature flow and Gaussian smoothing of signed distance functions, an insight that blends classical geometry with modern neural pipelines. Based in Ithaca, he combines rigorous academic training with hands-on engineering across research labs and product-focused internships.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Cornell University
Bachelor of Technology (BTech) Computer Science and Applied Mathematics, Bachelor of Technology (BTech) Computer Science and Applied Mathematics at Indraprastha Institute of Information Technology, Delhi
Contributions:12 commits, 10 pushes, 1 branch in 2 years 1 month
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