Collin Capano
Director Of Open Source Project Office And Research Associate Professor Of Physics
City of Syracuse, New York, United States
Summary
👤
Senior🎓
Top SchoolCollin Capano is a physicist and software leader with 18 years of experience applying statistical methods and high-performance computing to gravitational-wave and multimessenger data analysis. As Director of the Open Source Project Office and Research Associate Professor of Physics at Syracuse University, he blends research leadership with hands-on development in Python, git, and open-source tooling. His long-term contributions to gwastro/pycbc—a package used in the first direct detection of gravitational waves (GW150914)—highlight expertise in performance tuning, signal-template integration, and reproducible science. Collin’s background spans postdoctoral work at premier gravitational-wave institutes and practical HPC facilitation, giving him a rare combination of academic rigor and production-grade engineering. Based in Syracuse, he frequently bridges the gap between cutting-edge astrophysics and scalable, community-driven software.
18 years of coding experience
12 years of employment as a software developer
Ph.D., Physics, Ph.D., Physics at Syracuse UniversityRegents Diploma, Science, Math, History, French, Regents Diploma, Science, Math, History, French at Corinth High School
Github Skills (6)
physics10
python10
scientific-computing10
numpy10
signal-processing10
astronomy9
Programming languages (7)
Github contributions (5)
gwastro/pycbc
May 2013 - Sep 2022
Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:216 reviews, 342 commits, 697 PRs in 9 years 6 months
Contributions summary:Collin's commits focused on enhancing the core package for analyzing gravitational-wave data by adding optional seeding to the frequency_noise_from_psd function. Additional changes include adding features to support the integration with templates banks. Furthermore, the user addressed performance issues by patching the analytical PSD generation process, fixing an argument order bug. They also contributed to the tools used for plotting time-series data from different detectors.
pythongwastrosignal-processingneutron-starparameters
cdcapano/pykerr
Apr 2021 - Apr 2021
Contributions:1 release, 54 commits, 21 pushes in 11 days
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