My work includes leading a team that build tools for data modelling and analysis to categorize conditions in trailer braking systems, increasing safety and efficiency in fleets.

My background in data science comes from working on OSIRIS, a Canadian satellite instrument in operation aboard the Swedish Odin satellite. Launched in 2001, OSIRIS has collected two decades of high resolution spectral data of the atmosphere to provide information on the extent to which humans are changing the atmospheric environment, specifically through the study of ozone. As Senior Analyst and Operations Engineer, I was responsible for the data processing pipeline for the instrument. My work has been published in peer-reviewed journals and has been used to inform global policy decisions on climate.

This page is intended to help others get an idea of who I am, especially those who haven't worked with me before. If that's why you are here, I look forward to working with you.

• I love learning new things, especially in the fields of physics, mathematics, and programming, but really just about anything. If you are passionate about it, I'd love to learn it from you.

  • I take courses through Uplimit's online educational platform. I recently finished Product Thinking for Non-Product Managers and Forecasting with Machine Learning.
  • Current group book study: Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software
  • 2024's best books:
    • The Staff Engineer's Path by Tanya Reilly. I recommend reading it as you are developing along your IC track as it will help you to think about what is down the road of your career.
    • The Manager's Path by Camille Fournier.
    • The Bullet Journal Method by Ryder Carroll.

• I married my high school sweetheart. Twenty-plus years later we are still sweethearts. We have five children that fill our lives with fun and activity.

• I enjoy meeting new people and connecting with those I know. Tell me about what you love about work. Tell me about what's important to you outside of work.

• I grew up and still live in a small town (~1200 people). All three of my closest friends have chickens (one as a business, the other two as a hobby). Ask me anything about small town life if you are curious.

• If I get the chance to make you something to eat it will likely be a Neapolitan style pizza, unless it is your birthday, in which case it will be crêpes. If you get the chance to make me a meal, I will happily eat whatever you make.

• I've travelled to Italy, Scotland, Germany, Czechia, Lebanon, Mexico, Japan, Greece, Croatia, and Portugal.

• I'm learning Italian with Rocket Languages. I'm currently progressing from A1 to A2.

Here are a few things to know about me to help us get started working together.

• I view work as a creative process. I enjoy being innovative to solve problems, or to refine and expand what already exists.

  • How can things be made easier, more efficient, or more robust?
  • Is there anything that could be added to make it better?

• Work is learning, learning the new and becoming more efficient at the old.

• I view work as a collaborative process. Through collaboration, we can accomplish more, better. I am most productive when others depend on me and I depend on others. Everyone is winning when we are all performing to our strengths and allowing each other to perform to theirs.

• I view most work as in progess, meaning things are still getting better. Things need not be perfect before they are seen by teammates. I value feedback as helpful as it quickens the quality process. If I offer you feedback, it comes from that desire.

• Lastly, work as what you get paid for is too narrow a view of work. Work is a reflection of who we are and our impact on the world. Compensation is a byproduct, and much valuable work is unpaid.

• My linux journey has been Ubuntu (2012), to Arch (2017), currently Manjaro (2019-present).
• I own two Keychrons, a K3 and a K8. I prefer the K8, but the K3 is more portable.
• I love the terminal.
• My IDE is PyCharm.
• I have contributed to a few open source projects:
  • the linux kernel (an ethernet driver addition)
  • Pandas, this bug fix
  • Dagster, a documentation PR on k8s deploy configuration suggestions
  • Xarray (think Pandas, but n-dimensional) PR
  • django-taggit, this bug fix

• I've written a personal philosophy of data science. If you are interested in my views on data science, or would like to dialogue on the values and responsibilities of a data scientist, please read and talk to me about it.