Yiye Jiang
Postdoctoral Researcher at Université Grenoble Alpes
France
Summary
👤
Senior🎓
Top SchoolYiye Jiang is a postdoctoral researcher based in France with nine years of experience at the intersection of time series, graph-based methods, and statistical signal processing. Holding a PhD from Université de Bordeaux and dual master’s training in signal imaging and mathematical statistics, she combines rigorous theoretical background with practical work on spatiochromatic image structure and distributional time series analysis. Her recent research emphasizes graph-aware time series methodologies and distributional approaches, reflecting a shift from image-focused matrix analysis to complex temporal dependence modeling. She has taught linear algebra, imaging labs, and nonparametric statistics at the university level, regularly supervising student projects in big-data courses. An active GitHub user, her profile aggregates code and experiments that bridge statistical inference with applied modeling, making her adept at translating mathematical insight into reproducible research.
9 years of coding experience
PhD, PhD at Université de BordeauxM.Sc., Mathematical Statistics and Probability, M.Sc., Mathematical Statistics and Probability at Xiamen University
Chinese, English, French
Github Skills (5)
data-import1
dataframes1
regression1
query-language1
data-analysis1
Programming languages (1)
Github contributions (5)
yiyej/yiyej.github.io
Jul 2022 - Feb 2025
Contributions:103 pushes, 1 branch in 2 years 6 months
yiyej/sensor_selection_NTS
Apr 2020 - Apr 2020
Contributions:55 commits, 26 pushes, 1 branch in 11 days
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