Summary
Andrei Chubarau is a Senior Applied Scientist with 11 years of experience bridging deep learning research and production-grade vision and graphics systems. He holds a PhD from McGill and has led award-winning work on NeRFs/SDFs, perceptual similarity, image quality assessment, and panoptic segmentation, translating algorithms into deployed product features. Andrei has driven multimodal foundation model efficiency and adapted models like DINOv3 for dense tasks, while also engineering fast, practical graphics solutions (e.g., cone-traced supersampling and shader optimizations) that earned top student awards. Based in Montreal, he blends academic rigor with hands-on optimization and mentoring across industry labs and startups. Less obvious: he repeatedly converts prototype research into scalable pipelines—vectorizing renderers and integrating 3D reconstruction into virtual room design—making cutting-edge graphics research directly usable in real-world applications.
11 years of coding experience
3 years of employment as a software developer
Diploma of College Studies, First Choice Health Science, Diploma of College Studies, First Choice Health Science at Dawson College
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at McGill University