Vassili Korotkine
Graduate Student
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolVassili Korotkine is a PhD candidate at McGill University's DECAR group specializing in state estimation for mobile robots, with eight years of experience bridging research and applied analytics. He focuses on how robots interpret ambiguous sensor data to localize themselves, combining rigorous academic work (MSc and BEng with near-perfect GPAs) with practical data science and aviation-focused technical roles. His background includes hands-on projects in flight simulator analytics and engineering program support, giving him a pragmatic systems perspective on perception and real-time feedback. Comfortable in Python and C++, he publishes and maintains research code and papers that advance probabilistic estimation under uncertainty. Colleagues can expect a researcher who pairs theoretical depth with engineering pragmatism and a keen interest in making robot perception robust in messy, real-world environments.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering - Dynamics Estimation Control of Aerospace and Robotic (DECAR) Systems Group, Doctor of Philosophy - PhD, Mechanical Engineering - Dynamics Estimation Control of Aerospace and Robotic (DECAR) Systems Group at McGill University
Github Skills (48)
kalman-filter10
robotics9
manifold9
convex9
optimization8
python8
convex-optimization8
numerical-optimization8
cudnn7
modeling7
kitti6
embedded6
cuda6
numpy-arrays6
mathematical-optimization6
Programming languages (4)
Github contributions (5)
vkorotkine/Honours_Thesis
Sep 2018 - Nov 2019
Contributions:32 pushes, 1 branch in 1 year 2 months
decargroup/hessian_sum_mixtures
May 2024 - Oct 2024
Contributions:6 PRs, 9 pushes, 3 branches in 5 months
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