Karhan Kayan
Computer Vision Researcher at Princeton University
New Jersey, United States
Summary
🤩
Rockstar🎓
Top SchoolKarhan Kayan is a Computer Vision researcher and Ph.D. candidate in Computer Science at Princeton University with six years of research experience spanning AI, ML, and computer vision. He has held research roles at Princeton and the University of Chicago, working on graphical models, deep generative models, time series, causality, and data mining under notable advisors. His hands-on projects include developing procedural generation logic for photorealistic synthetic worlds in the Infinigen project and building image-processing software for an infrared vein visualization system, demonstrating both theoretical depth and practical system-building. Comfortable moving between pure mathematics and applied machine learning, he brings a rigorous, interdisciplinary approach to problems that require both algorithmic innovation and engineering implementation.
6 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Bahcesehir High School for Science and TechnologyComputer Science with Specialization in Machine Learning (B.S. Honors), Mathematics (B.S. Honors), Computer Science with Specialization in Machine Learning (B.S. Honors), Mathematics (B.S. Honors) at University of ChicagoDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Princeton University
Turkish, English, German
Github Skills (3)
procedural-generation10
python10
3d-models9
Programming languages (2)
Github contributions (5)
princeton-vl/infinigen
Jun 2023 - Jan 2025
Infinite Photorealistic Worlds using Procedural Generation
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 9 comments, 1 issue in 1 year 6 months
Contributions summary:The user, Karhan Kayan, primarily contributed to the core procedural generation logic for photorealistic worlds. Their commits added and modified code related to geometry nodes, surface generation, and asset placement within the Infinigen framework. These changes include modifications to existing code, primarily focused on Blender's geometry nodes and the integration of new features.
karhankayan/argggggggh
Nov 2021 - Jan 2023
Contributions:28 pushes, 1 branch in 1 year 1 month
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