Summary
Ilya Chugunov is a research scientist and PhD candidate-turned-Adobe researcher with nine years of experience at the intersection of computational photography, computer vision, and machine learning. He has combined academic rigor at Princeton and UC Berkeley with industry impact through internships and research roles at Adobe, Google, Meta, and Microsoft, focusing on imaging algorithms and mixed-reality vision systems. His work spans end-to-end research from signal-processing foundations to practical ML-driven imaging pipelines, and he occasionally practices the craft hands-on as a photographer. Based in Seattle, he brings a blend of experimental curiosity and product-minded engineering, with a knack for turning camera science into usable features.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS) Electrical Engineering and Computer Science, Bachelor of Science (BS) Electrical Engineering and Computer Science at UC Berkeley College of Engineering
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Princeton University
English, French, Russian