Maria Shugrina
Senior Research Scientist at NVIDIA
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolMaria Shugrina is a Senior Research Scientist with a decade of experience at the intersection of machine learning, human-computer interaction, and creative tools, currently pursuing a PhD at the University of Toronto while leading research at NVIDIA. She combines industrial R&D chops from Google and Adobe—where she shipped innovations in speech/language systems and digital painting interaction (including a first-author SIGGRAPH paper and planned tech transfer)—with product-driven engineering skills across iOS, C++, Python, GLSL and full-stack systems. Known for turning research prototypes into product-facing features, she has led teams and cross-functional collaborations to deliver data pipelines, crowdsourcing experiments, and interaction prototypes. Based in Toronto and open to part-time consulting or startup leadership, she focuses on machine learning that amplifies human creativity rather than replaces it. A less obvious strength is her track record of bridging rigorous user studies and pigment/graphics modeling with large-scale ML systems, enabling both delightful interactions and production-grade deployments.
10 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at MITDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of TorontoNone, Computer Science, None, Computer Science at New York University, GSASBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Boston University
russian (fluent), german (intermediate)
Github Skills (25)
camera-api10
pytorch10
artificial-intelligence10
deep-learning10
computer-graphics10
optical-flow10
cuda10
scene10
sdf10
legend9
nvidia9
computer-vision9
predict7
siggraph7
renderer4
Programming languages (4)
Github contributions (5)
creativefloworg/creativeflow
Aug 2019 - Nov 2019
Code accompanying the Creative Flow+ Dataset, CVPR 2019.
Contributions:2 releases, 18 commits, 12 PRs in 2 months
pytorchdeep-learningoptical-flowdatasetcomputer-vision
shumash/kaolin
Apr 2021 - Jun 2024
A PyTorch Library for Accelerating 3D Deep Learning Research
Contributions:18 pushes, 16 branches in 3 years 2 months
pytorchdeep-learningvolume-rendering3d-deep-learningpytorch-library
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