Michael P
Chief Data Officer
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMichael P is a data leader and Chief Data Officer at Numerai with six years of focused industry experience and a background building production ML systems since his early work as Principal Data Scientist at DecisionIQ. He combines hands-on model engineering—evidenced by open-source contributions that optimized memory use and added feature neutralization and validation diagnostics for Numerai example models—with strategic leadership scaling data teams and operations across the Numerai fund and platform. His career spans applied research in anomaly detection at Georgia Tech, experimental NLP work at Cambridge Analytica, and designing end-to-end automated ML pipelines that managed thousands of in-production models. Based in San Francisco, he brings a mix of academic rigor and practical productization, often surfacing subtle model improvements (e.g., float-16 optimization and diagnostic instrumentation) that materially improve production performance.
6 years of coding experience
5 years of employment as a software developer
Master of Science (M.S.) Analytics, Master of Science (M.S.) Analytics at Georgia Institute of Technology
Github Skills (8)
pandas10
xgboost10
machine-learning10
python10
cryptocurrency8
numpy8
scikit7
scikit-learn7
Programming languages (3)
Github contributions (5)
numerai/example-scripts
Jan 2020 - Dec 2022
A collection of scripts and notebooks to help you get started quickly.
Role in this project:
Data Scientist
Data ScientistContributions:6 reviews, 59 commits, 44 PRs in 2 years 11 months
Contributions summary:Michael primarily focused on improving an example machine learning model within the repository. Their work included optimizing the model's memory usage by switching from float-64 to float-16, and adding feature neutralization code and an example. Furthermore, they incorporated validation diagnostics to assess model performance, added a paper for broader generalization context, and made code formatting improvements.
pythonsciencenumeraidata-sciencemachine-learning
michael-phillips-data/numerapi
Oct 2020 - Oct 2020
Python API and command line interface for the numer.ai machine learning competition
Contributions:3 pushes in 1 day
apipythonai-machine-learningcommand-line-interfacemachine-learning
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