Matthew Hoover
Principal Machine Intelligence Engineer at Draper
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolMatthew Hoover is a Principal Machine Intelligence Engineer with 11+ years applying advanced analytics and ML to government, healthcare, and international development problems. He combines hands-on modeling skills in Python and R with experience deploying AI at scale through platforms like DataRobot and in federal settings at Draper. Matthew has led and mentored teams of data scientists, managed customer-facing pre-sales engagements, and built production analytics pipelines that bridge research and operations. His PhD from Pardee RAND informs a deep grounding in social network analysis and causal methods, a perspective shaped by fieldwork in Afghanistan, Uganda, and other countries. Uncommonly for someone in engineering leadership, he pairs academic rigor on sensitive social-policy topics with startup and product experience in health-insurance decision tools. Based in Washington, D.C., he focuses on translating hard ML use cases into reliable, mission-driven solutions for public-sector clients.
10 years of coding experience
9 years of employment as a software developer
Master of International Affairs (M.I.A.), Master of International Affairs (M.I.A.) at Columbia University - School of International and Public AffairsMaster of Public Health (M.P.H.), Master of Public Health (M.P.H.) at Columbia University Mailman School of Public HealthDoctor of Philosophy (Ph.D.), Public Policy Analysis, Doctor of Philosophy (Ph.D.), Public Policy Analysis at Pardee RAND Graduate SchoolBachelor's Degree, Accounting, Bachelor's Degree, Accounting at Michigan State University
Russian
Github Skills (3)
api5
google-trends4
python3
Programming languages (2)
Github contributions (5)
mhoover/tt
Jan 2017 - Jan 2018
Contributions:8 PRs, 22 pushes, 8 branches in 1 year
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