Marc Brooks
PhD Candidate
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolMarc Brooks is a Statistics PhD candidate at the University of Michigan with nine years of hands-on data science and research experience spanning healthcare, finance, and public policy. He builds production-grade ML and data pipelines (GCP, AWS, Docker, Kubernetes) and has led projects from reinforcement-learning credit optimization to automated conversational text analysis that halved audit time for Planned Parenthood. Comfortable with large-scale econometric and survey datasets, Marc has translated complex methods into reproducible code and visualizations for nontechnical stakeholders and taught applied statistics in academic settings. His background bridges applied mathematics, statistical science, and bioinformatics, reflecting a knack for turning messy, high-volume data into actionable insights.
9 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Applied Mathematics, Bachelor’s Degree, Applied Mathematics at University of California, BerkeleyMaster's degree, Statistical Science, Master's degree, Statistical Science at Duke UniversityDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Michigan - Rackham Graduate School
English, Spanish
Github Skills (3)
stata9
python2
sublime-text1
Programming languages (5)
Github contributions (5)
mb208/Adapt
Jun 2021 - Feb 2022
Contributions:1 release, 40 pushes, 1 branch in 7 months
mb208/STA-561D
Feb 2021 - Apr 2021
Contributions:4 PRs, 21 pushes, 4 branches in 2 months
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