Me in brief

  • Hydrologically minded geophysicist turned research software engineer

  • Helped create the PyVista Project

  • Builds impactful software used across domains in idustry and academia

  • Passionate about open-source software

  • R&D Engineer at Kitware reimagining scientific collaboration tools

Around the Interweb

Most of my output is available around the internet, usually through Github repositories. You can find me and my research, code, articles, and data at:

  • GitHub: my biggest presence is on GitHub, follow me and my projects there!

  • ORCID (0000-0001-8628-4566): all of my scientific output with DOIs

  • Google Scholar: list of research content

  • Research Gate: academic social network

  • Twitter: Follow me!


I am currently a research & development engineer in Kitware’s Data & Analytics Team, where I develop software for scientific research applications.

My background is primarily in applied earth sciences, earning a B.Sc. in Geophysics and an M.Sc. in Hydrological Science from the Colorado School of Mines. Through my graduate research, I explored the intersection of 3D visualization, geoscience, and reproducible workflows. My focus has been helping geoscientists visualize their 3D/4D data, communicate their spatial findings, and enable data traceability in their research. These efforts lead me to create geovisualization and data management software to streamline reproducible computing workflows in the geosciences, particularly the PyVista project.

I am most proud of my contributions to PyVista, an open-source Python package for 3D visualization and spatial data analysis. Beyond PyVista, I am an active contributor to many open-source software, and I am always looking for ways to make an impact in my work. I genuinely believe that scientific findings should be reproducible, not only by other researchers but also by stakeholders of the science at hand; I carry this sentiment in my efforts to develop research software.

Beyond all the coding and science, I’m an avid rock climber, trail runner, and general human-powered adventure enthusiast! When I’m not coding up super cool 3D visualization software, you can find me trail running or climbing.

Please feel free to reach out to me (email is in the icons at the top)! I am happy to talk about anything in the realm of earth science computing, open-source research software, or epic outdoor activities.


My passion is building impactful, open-source software focusing around earth science, 3D visualization, and reproducible science. These are some of my notable projects, but for the most up-to-date information, follow me on GitHub!

I am a co-creator of the PyVista project - an effort devoted to making 3D visualization and analysis tools more accessible to researchers. I am also the founder of OpenGeoVis, a similar, offshoot project focusing on geoscience applications.

Prior to joining Kitware, most of my contributions to open-source software were a part of my efforts with the PyVista ecosystem (I developed PyVista prior to joining Kitware).


The PyVista project is a collection of Open Source Software making 3D visualization and analysis more approachable in Python.


localtileserver is a minimalist tile server for local, large geospatial images. This package enables visualization of geospatial rasters in Jupyter notebooks with ipyleaflet.


As a part of my work at Kitware, I am the lead developer of Resonant GeoData (RGD): a series of Django applications built for cataloging and searching cloud-hosted geospatial data.

  • ResonantGeoData
  • Ready for use but still changing
  • Professional work at Kitware

🩻 🗺️ django-large-image

django-large-image provides a dynamic tile server with django-rest-framework viewset mixins for endpoints to work with large images (geospatial or medical image formats) in Django.

🐶🕵 ️Scooby

Scooby is a lightweight toolset to easily report your Python environment’s package versions and hardware resources. This utility has been adopted by a wide range of open source projects.

🔗 ipyvtklink

A minimalist ipywidget for connecting to any vtkRenderWindow to enable powerful, server-side 3D rendering in Jupyer notebooks. This tool is widely used by Python-VTK and PyVista communities.

🌍 PVGeo

PVGeo is an open-source Python package for geoscientific visualization in VTK and ParaView, built on top of PyVista.