Michelle Wang
PhD Candidate
Summary
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RockstarMichelle Wang is a PhD candidate in Quantitative Life Sciences at McGill University with seven years of experience bridging computational methods and biological research. She brings deep quantitative training to data-driven problems, likely combining statistical modeling, programming, and domain knowledge to translate complex datasets into scientific insight. Based in the United States, she pairs academic rigor with practical research execution and a track record of sustained contribution over a multi-year career. Notably, her profile suggests a focus on interdisciplinary work at the interface of life sciences and computation, making her adept at collaborating across experimental and computational teams.
8 years of coding experience
Github Skills (49)
python10
brain-imaging10
machine-learning10
decoding10
bids10
neuroimaging10
imaging9
controlled9
command-line8
data-structure8
terminal-application8
preprocessing7
image-processing7
sphinx-extension7
science7
Programming languages (10)
Github contributions (5)
neurodatascience/QLS-course-materials
Jun 2022 - May 2026
Materials for the NeuroDataScience Course (McGill QLSC612)
Contributions:2 reviews, 14 PRs, 27 pushes in 3 years 11 months
mcgillmachine-learning
neurodatascience/nipoppy-ppmi
Mar 2023 - Jan 2026
Process long and prosper
Contributions:28 reviews, 166 PRs, 235 pushes in 2 years 10 months
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