Paul Van Mulbregt
Software Engineer at Google
Wayland, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolPaul Van Mulbregt is a seasoned software engineer and research leader with a Ph.D. in Mathematics and over two decades of industry experience spanning speech recognition, text-to-speech, machine learning, and cloud networking. He has led large R&D organizations and shipped high-volume embedded speech engines used in hundreds of millions of phones, then transitioned to solving internet-scale networking problems at Google Cloud. Equally comfortable in hands-on algorithm development and people leadership, Paul has published algorithms and contributed to the SciPy core—improving numerical accuracy for statistical functions like the Kolmogorov–Smirnov routines. His background blends academic rigor (MIT Ph.D., early tenure as an assistant professor) with product-focused execution through startups and large enterprises, including a successful acquisition exit. Based in Wayland, MA, he brings deep expertise in statistical modeling and neural techniques applied to real-world, resource-constrained systems.
9 years of coding experience
26 years of employment as a software developer
B.Sc(Hons) First Class, Mathematics, B.Sc(Hons) First Class, Mathematics at University of OtagoPh.D., Mathematics, Ph.D., Mathematics at Massachusetts Institute of Technology
Github Skills (13)
algorithm10
statistics10
algorithms10
numerical-analysis10
math10
python10
numpy10
maths10
documentation9
c119
c179
testing8
fortran7
Programming languages (3)
Github contributions (5)
scipy/scipy
May 2017 - Dec 2020
SciPy library main repository
Role in this project:
Back-end Developer & Mathematician
Back-end Developer & MathematicianContributions:19 reviews, 197 commits, 83 PRs in 3 years 7 months
Contributions summary:Paul contributed to the SciPy library, a scientific computing project. Their work involved debugging and improving mathematical functions, specifically focusing on statistical distributions and related functions. The user's commits included changes related to numerical algorithms, mathematical accuracy, and documentation, demonstrating a strong understanding of both software development and the underlying mathematical principles. They made several code changes, including improvements to the Kolmogorov-Smirnov statistic.
scipypythonscientific-computing
pvanmulbregt/scipy
May 2017 - Nov 2020
Scipy library main repository
Contributions:206 pushes, 147 branches in 3 years 6 months
scipypython
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