Corson Areshenkoff
Researcher at Queen's University
Grand Forks, British Columbia, Canada
Summary
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Senior🎓
Top SchoolCorson Areshenkoff is a researcher specializing in the neural mechanisms of motor control, combining a strong mathematics and statistics background with a decade of experience in cognitive neuroscience. He leverages fMRI and advanced statistical tools—including hierarchical Bayesian models, tensor factorization, and Riemannian-geometry-based methods—to dissect how the brain integrates prediction errors, sensory cues, and explicit strategies during motor learning. His work emphasizes higher-order interactions and temporal correlations between functional regions, and he has applied multiscale entropy and rotation-aware analyses to EEG and movement datasets. Based at Queen’s University after doctoral training at Queen’s and UVic, Corson enjoys tackling unusual analytic problems and developing software for kinematic and rotation data. A less obvious strength is his interest in visualizing and statistically modeling three-dimensional rotations, a niche skill that bridges theoretical methods and practical movement analysis.
10 years of coding experience
1 year of employment as a software developer
Master's degree, Cognition and Brain Sciences, Master's degree, Cognition and Brain Sciences at University of VictoriaDoctor of Philosophy - PhD, PSYCHOLOGY, Doctor of Philosophy - PhD, PSYCHOLOGY at Queen's UniversityGithub contributions (5)
areshenk/MSMVSampEn
Nov 2020 - Jul 2022
Contributions:12 commits, 32 pushes, 1 branch in 1 year 8 months
areshenk-rpackages/spdm
Nov 2020 - Jul 2022
Contributions:2 releases, 14 commits, 22 pushes in 1 year 8 months
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