I am a long-time open source maintainer and co-CEO at Quansight. Since 2010, I have served as a maintainer for NumPy and SciPy, acting as the primary lead on packaging and build infrastructure across those projects and the wider scientific Python ecosystem. I led the migration of NumPy and SciPy away from numpy.distutils to Meson and meson-python, and I am an active meson-python maintainer.
To address the complexity of native code packaging, I created pypackaging-native, which provides detailed problem statements on C/C++, Fortran, GPUs, and hardware dependencies. My involvement in Python packaging standardization dates back to 2012 across distutils-sig and Discourse, where I have continuously advocated for and reviewed standards that support complex and performance-critical workloads. Most recently, I became one of the drivers of the WheelNext initiative to address current wheel limitations, working on standards for wheel variants (PEP 817, PEP 825) and metadata for non-Python dependencies (PEP 725, PEP 804). I also package a number of projects in conda-forge and Spack, and I am deeply interested in improving how Python packaging and distribution packaging intersect.
On governance, I served on the NumFOCUS Board of Directors from 2012 to 2018. After years of volunteer maintenance alongside my work in industry as a physicist, I joined Quansight in 2019 to build Quansight Labs as a public benefit division and home for open source maintainers. Quansight has directed well over 100,000 maintainer hours into core open source projects, prominently including Python packaging tools and standards, as well as conda-forge.
If elected to the Steering Council, my priorities are threefold. First, to help establish the council on a transparent, predictable path while improving community review processes and decision-making workflows. Second, to improve support for native code, compiled dependencies, and hardware needs across scientific computing, ML/AI, and performance-critical workloads. Third, to strengthen the interaction with and support for distribution packaging, spanning Linux distributions, Conda, Spack, Nix, and beyond.