Qiao Gu
Research Scientist Intern at NVIDIA
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolQiao Gu is a PhD student in Computer Science at the University of Toronto with a decade of experience researching 3D computer vision, robot learning, and lifelong learning. Currently a Research Scientist Intern at NVIDIA, she previously held research internships at Meta where she developed 3D reconstruction methods for egocentric video and advanced video generation models with 3D spatial memory. Her background blends robotics training from Carnegie Mellon with systems and vision foundations from HKUST and Georgia Tech, enabling a practical, multidisciplinary approach to perception and embodied AI. Known for tackling long-horizon learning problems in visually-rich, first-person settings, she combines rigorous academic research with applied model development that bridges simulation and real-world robotics.
10 years of coding experience
1 year of employment as a software developer
Exchange student, Computer Science, Exchange student, Computer Science at Georgia Institute of TechnologyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of TorontoMaster's degree, Robotics, Master's degree, Robotics at Carnegie Mellon UniversityHong Kong University of Science and Technology (HKUST)
Github Skills (62)
rendering10
odometry10
responsive10
computer-graphics10
jekyll10
visualization9
mesh9
pytorch9
python9
cluster-computing9
machine-learning9
open3d9
volume-rendering9
opengl9
jekyll-theme9
Programming languages (5)
Github contributions (5)
r-pad/zephyr
Apr 2021 - Mar 2022
Source code for ZePHyR: Zero-shot Pose Hypothesis Rating @ ICRA 2021
Contributions:48 commits, 6 PRs, 19 pushes in 11 months
pytorchzerozero-shot-learningratingzero-shot
georgegu1997/cs7641
Jan 2018 - Apr 2018
Contributions:6 commits, 6 pushes in 3 months
notesdata-sciencetomgeorgiamachine-learning
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