Caden Hewlett

Research Assistant at The University of British Columbia

British Columbia, Canada
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Summary

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Senior
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Top School
Caden Hewlett is a statistics graduate student and research assistant at the University of British Columbia with nine years of professional experience spanning statistics research, cloud software development, and teaching. He focuses on non-parametric methods, Bayesian statistics, and hybrid/gradient-free evolutionary algorithms, blending theoretical rigor with practical implementation. At UBC he has supported courses from elementary statistics to advanced Bayesian topics while driving data modernization work in industry. Caden brings a hands-on approach to experimental algorithm design and enjoys translating complex probabilistic ideas into reproducible code and teaching material. Based in British Columbia, he pairs academic curiosity with applied engineering experience, often exploring gradient-free optimizers that bridge research and production use cases.
code8 years of coding experience
bookMaster's degree, Statistics, Master's degree, Statistics at The University of British Columbia
bookRockridge Secondary School
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Github Skills (11)

text-translation6
robotics6
duckduckgo-api6
ros6
duckduckgo5
python4
search-engine3
translation3
acceleration2
ai-chat1
java1

Programming languages (3)

JavaRPython

Github contributions (5)

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cadenhewlett/CHPersonal

Jun 2018 - Mar 2020

Contributions:118 commits, 112 pushes, 1 branch in 1 year 9 months
cadenhewlett/STAT447

Mar 2024 - Jun 2024

Coursework for STAT 447, (Public for Final Project)
Contributions:16 PRs, 81 pushes, 18 branches in 2 months
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Caden Hewlett - Research Assistant at The University of British Columbia