
Mackenzie is a Software Engineer working within the Weather Informatics and Decision Support (WIDS) division to build impact-based decision support tools for National Weather Service (NWS) forecasters. His work has centered on real-time processing of national-scale model and observational data via event-driven microservice architecture and modern web applications to help simplify situational awareness and decision making for meteorologists and their public partners. Interesting challenges in this space include effectively visualizing and communicating probabilistic model data, summarizing a complex combination of impactful weather conditions, and quantifying expected impact to the public based on the location, timing, and severity of incoming weather. His background prior to Global Systems Laboratory includes full stack Android development for a Fortune 100 retailer, and development of web-based ground station systems for a space startup with both environmental monitors across the U.S. and rovers on the Moon.
He and his wife live near Denver with their rescue dog, where they love to spend as much time in the wilderness as possible–hiking, biking, running, snowboarding, skating, and more.
Education
B.A. Computer Science – University of Minnesota
Experience
- Target Corporation – Site Reliability Engineer (2018 – 2022), Software Engineer
- (2020 – 2022)
- Lunar Outpost – Fullstack Software Engineer (2022 – 2023)