napari is a Python viewer for multi-dimensional images. I joined CZI’s napari team in 2022, where I made code contributions and served as tech lead. I’ve been on napari’s steering council since 2023. napari has become central infrastructure in the scientific Python ecosystem for microscopy—used for everything from basic image visualization to interactive ML annotation workflows. My contributions have focused on large-data handling, ML integration, and helping coordinate the project’s technical direction.
Jul 1, 2022
Keynote on computational tools for multi-scale image analysis.
Sep 1, 2021
This paper describes the development of sciview, a modern 3D viewer for the ImageJ community, highlighting sustainable development, community building, and software engineering best practices.
Apr 28, 2020
We introduce scenery, a flexible VR/AR visualization framework for the Java VM that can handle mesh and large volumetric data. scenery supports multiple views, timepoints, and color channels, and is designed to facilitate quick prototyping and full application development. It is free, open-source, cross-platform, and uses Vulkan or OpenGL rendering APIs.
Apr 24, 2020