Summary
Monde Duinkharjav is a machine learning engineer and NYU PhD whose work sits at the intersection of computer graphics, vision science, and human perception, applying perceptual insights to make graphics systems more effective for real-world tasks. With a foundation from MIT (BS, MEng) and a decade of industry and research experience including roles at NVIDIA, Facebook/Instagram, Adobe, and OMRON, he bridges rigorous research and production ML engineering. His PhD research in immersive computing explored how observed scene properties shape behavior and visual task performance, and he has practical experience integrating differentiable ray tracing into ML pipelines. Now based in New York, Monde combines deep domain expertise with hands-on engineering at scale, bringing perceptual science into deployable graphics and vision systems.
10 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at New York University