Alexandr Kuznetsov is a research scientist at Intel. His research interests lie at the intersection of physically-based rendering and deep learning. He received a PhD in computer science from the University of California, San Diego, under the supervision of Professor Ravi Ramamoorthi. While there, he worked on developing novel neural representations for complex material appearances and denoising for Monte Carlo rendering. He graduated from New York University with a bachelor's degree in computer science and mathematics.
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