Aditya Ganeshan is a PhD student at Brown University with a decade of experience at the intersection of graphics, AI, and creative tools, building deep learning systems that enable expressive geometry and design. His thesis work in symbolic geometry produces domain-specific executable representations (DSLs, shape programs) and practical tooling—open-source projects like GeoLIPI, SySL and ASMBLR—for inference, editing, and fabrication. He has a strong publication and review record across top venues (SIGGRAPH, CVPR, NeurIPS, ICCV) and has turned research into deployed artifacts, including SIGGRAPH Asia work on CNC fabrication and Adobe internships producing 3D primitive assembly and pattern-editing systems. Comfortable moving between code, theory, and physical fabrication, he combines mathematical training from IIT Roorkee with hands-on systems and mentorship experience, making him adept at turning creative research into usable pipelines.
10 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 Brown University
Indian Institute of Technology Roorkee
12th Pass. Physics Chemistry and Maths, 12th Pass. Physics Chemistry and Maths at Jawahar Lal nehru School, B.H.E.L., Bhopal
Contributions:4 commits, 2 pushes, 1 branch in 1 year 11 months
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Aditya Ganeshan - Doctoral Student at Brown University