I live in Houston, Texas with my wife and dog Momo.
- Perspectives on Building Solutions With Code
- Professional History
- Recent Talks
- Community Involvement
- Things that could exist but don't yet
- Natural Language Processing
- Open source geospatial tools
- Water based things like kayaking and paddle boarding. Also small web-based services that help me decide when and where to go.
- Things at the intersection of geology & code
- Sharing at Scale:
- This includes questions like open data interface design; code citation tooling as a way to change its perceived value; group membership and behaviors in open source that impact how science gets done; different incentives between inner source and open source; platform and tooling effects on code sharing; and code dependencies as reusable metadata and a metaphor for developer skills.
Perspectives on Building Solutions With Code
A few personal opinions that define how I approach data science include:
- I have a soft spot for things at the intersection of metadata, natural language processing, semantic tooling, and user interfaces as technology improvements have opened up a lot of possibilities there that have yet to be built.
- I love finding ways to use data gathered for one purpose for a completely new purpose. It’s like finding free money.
- I think data visualization is vastly undervalued due to so much of the understanding we get from it happening faster than we can cognitively grasp it.
- I think we focus too much on applying machine-learning to things humans already do fairly often and not enough thinking about tasks machine-learning would be great at that we never do, because they would be too boring or time consuming.
- Understanding how people interact with the analysis, tools, and products we create and how things get built or not built within the larger organizational context is more often the controlling variable on a successful product than the technical details or prediction accuracy.
I have been a Program Manager, Data Scientist, Software Developer, and Geoscientist. Professional History
Here's a few highlights of my professional history with an emphasis on what types of code I used in each role and what types of problems were solved.
Before NASA, I worked as a geoscientist for BP and got to dig into data to answer questions that drove business questions across Canada, U.S., and Brazil. Towards the end of my time there I also got to use code to build solutions that domain specific software applications couldn't be twisted into answering via graphics user interfaces alone. I wrote data processing scripts in sed/awk when novel types of analytics were required. I also put together prototypes combining Python with ArcGIS and Excel based data inputs to identify risks to reservoir quality earlier than traditional methods.
Remote talk SpaceApps Lilv, Ukraine 2019 – “A Tour of NASA’s Data Universe for a SpaceApps Audience“
American Association of Petroleum Geologists Annual Conference & Exhibit 2019 – “A Supervised Machine-Learning Approach to Stratigraphic Surface Picking in Well Logs from the Mannville Group of Alberta, Canada“
Houston Data Visualization Meetup 2017 – “Getting Your Data Visualizations Online“
Rice Data Science Conference 2017 – “Practical Considerations for Data Science Consulting and Innovation in a Large Organization“
Johnson Space Center Data Science Day 2017 – “The Changing Landscape of Data Visualization Tools Over the Last 40 Years“
Houston Data Visualization Meetup – co-lead
Gulf Coast Section of SEPM (sedimentology geology) – former social media manager
A helpful Parasaurolophus displays my business card.