Allan Campopiano
Staff Data Analyst
Hamilton, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAllan Campopiano is a Staff Data Analyst with 12 years of experience blending neuroscience, statistics, and software to make advanced data tools accessible to researchers and product teams. He has built and taught robust statistical methods—publishing Hypothesize, a Python library inspired by Rand Wilcox’s work—and routinely delivers workshops on robust stats, visualization, and data science tooling. His career spans applied roles at Deepnote, Prescient AI, MUUTAA, and Super.com, where he translates complex analytics into practical workflows for scientists and marketers alike. Trained in cognitive and behavioural neuroscience, he uniquely pairs domain expertise in electrophysiology with hands-on engineering experience in data infrastructure and open-source software. Known for lowering barriers to entry, he focuses on developer-centered education and tooling that accelerates adoption of best practices across the scientific community.
12 years of coding experience
9 years of employment as a software developer
Master of Arts (M.A.) Neuroscience, Master of Arts (M.A.) Neuroscience at Brock University
Github Skills (157)
python10
vega10
databases10
gpt4all10
qualtrics10
plot10
jupyter-widget10
ai10
maps10
vega-lite10
altair10
jupyter10
hypothesis-testing10
solace10
jupyterlab-extension10
Programming languages (9)
Github contributions (5)
Alcampopiano/STATSLAB
Feb 2015 - May 2018
Contributions:168 commits, 163 pushes, 1 branch in 3 years 3 months
Alcampopiano/hypothesize
Mar 2020 - Jul 2022
Robust statistics in Python
Contributions:2 releases, 7 reviews, 188 commits in 2 years 4 months
robust-statisticsdata-analysishypothesis-testingconfidence-intervalspython
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