Matthew Pitkin
Audio Algorithm Researcher at CEDAR Audio Ltd
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMatthew Pitkin is an audio algorithm researcher and former academic with 22 years' experience applying Bayesian statistics and advanced data analysis to gravitational-wave astronomy and audio technology. He transitioned from a long research career—spanning a PhD in astrophysics, a postdoc at Glasgow, and a lectureship at Lancaster—into industry work at CEDAR Audio, bringing rigorous signal-processing and statistical inference skills to product-focused algorithm development. An active open-source contributor, he helped modernize pycbc, the core package used in the first direct detection of gravitational waves, ensuring Python 3 compatibility and continued use with modern astropy versions. Based in Cambridge, he blends deep domain knowledge of astrophysical signals with practical software engineering, and is comfortable moving breakthroughs from research code into robust, maintainable systems.
22 years of coding experience
University College LondonPhD, Astrophysics, PhD, Astrophysics at University of Glasgow
German
Stackoverflow
5,180reputation
298kreached
296answers
29questions
matplotlib
top-5%
python
top-5%
Github Skills (15)
gravity10
grav10
python10
gr10
signal-processing9
matplotlib9
numpy8
astropy7
analyse7
pytorch6
pandas6
seaborn6
dictionary6
forloop6
virtualenv6
Programming languages (12)
Github contributions (5)
gwastro/pycbc
Feb 2019 - Apr 2019
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
Back-end DeveloperContributions:5 commits, 5 PRs, 3 comments in 1 month
Contributions summary:Matthew primarily focused on improving the code's compatibility with Python 3. Their contributions include fixing integer division issues within core modules such as `gaussian.py`, `estimate.py`, `waveform.py`, and `resample.py`. They also updated the project's dependencies to allow for newer versions of the `astropy` library when using Python 3. These changes ensured the project's continued functionality and usability across different Python versions and dependencies.
pythongwastrosignal-processingneutron-starparameters
mattpitkin/CW_nested_sampling_doc
Aug 2015 - Oct 2018
Contributions:377 commits, 1 PR, 69 pushes in 3 years 3 months
searchespythongravitational-wavesgravitationalcontinuous
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