Conner Dipaolo
Business Manager at Citadel
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolConner Dipaolo is a business manager and former applied scientist with 11 years of experience applying math, statistics, and machine learning to high-impact problems across finance, advertising, and space communications. He wrote the premier online machine learning library in Go early in his career and later contributed performance and testing improvements to core SciPy sketching routines, demonstrating both practical engineering and deep numerical expertise. At Yelp he fought spam and optimized ad creative, and his research at JPL produced provably better control algorithms for deep-space optical receivers slated for the Psyche mission. Now at Citadel GQS he blends technical depth with business leadership, translating quantitative research into operational decisions. Based in New York, he pairs a strong Harvey Mudd mathematics background with hands-on open-source contributions and a taste for problems where elegant math meets real-world impact.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Mathematics, 3.841 (3.884 in-major GPA), Bachelor of Science - BS, Mathematics, 3.841 (3.884 in-major GPA) at Harvey Mudd College
Github Skills (9)
sparse-matrix10
algorithms10
scipy10
python10
linear-algebra10
scientific-computing10
numpy10
testing9
documentation8
Programming languages (9)
Github contributions (5)
scipy/scipy
Feb 2019 - Mar 2019
SciPy library main repository
Role in this project:
Back-end Developer / Data Scientist
Back-end Developer / Data ScientistContributions:13 commits, 1 PR, 8 comments in 5 days
Contributions summary:Conner primarily focused on improving the `scipy` library's sketching-based matrix computations. Their work involved optimizing the `clarkson_woodruff_transform` method to utilize sparsity and refactoring the code to improve its efficiency. They also expanded and enhanced the tests and documentation for the sketching methods. Further work involved fixing doctests and addressing code style issues.
scipypythonscientific-computing
math189r/math189r.github.io
May 2016 - Nov 2016
HMC Mathematics of Big Data I Course Website
Contributions:98 commits, 1 PR, 79 pushes in 6 months
pythonmathematicsbig-datacourse-websitehmc
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