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.
7 years of coding experience
Github Skills (46)
clinical-trials10
python10
brain-imaging10
machine-learning10
electrophysiology10
decoding10
bids10
meta-analysis10
neuroimaging10
docker9
controlled9
neural-network9
science7
cli7
querying6
Programming languages (6)
Github contributions (5)
neurodatascience/nipoppy-ppmi
Mar 2023 - Jan 2025
Process long and prosper
Contributions:28 reviews, 166 PRs, 231 pushes in 1 year 10 months
nipoppy/nipoppy
Feb 2023 - Apr 2025
Lightweight framework for neuroimaging-clinical data organization/processing
Contributions:2 releases, 378 reviews, 273 PRs in 2 years 2 months
neuroimagingclinical-trialsdockermeta-analysisprosper
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