About Me

I’m a data scientist at Bridger Photonics, a company that uses aerial lidar to detect and quantify methane emissions from oil and gas infrastructure. Over the last few years my role has grown from policy science into machine learning and client analytics. I’ve defined what counts as a “super-emitter” through statistical and techno-economic modeling, made the case for technology-neutral methane regulation to federal regulators, and now lead client data strategy. Lately I’ve been orchestrating AI agents across a range of business contexts. I also co-authored a technical paper at ROG.e 2026 on tracking operator methane reductions with aerial LiDAR and measurement-based inventories.

I grew up in Melbourne, Australia, where I fell in love with the natural world. I finished my undergraduate degrees in Chemistry, Biology, and Environmental Science (with minors in Mathematics and Physics) at the University of Arkansas, where astrobiology first drew me into data work: I ran Deep Earth Water (DEW) models to simulate the thermodynamics of amino acid synthesis under conditions thought to exist on Enceladus, using data from the Cassini probe. That’s when I realized I wanted a broad but rigorous training in data science, which led me to the Master of Environmental Data Science program at UC Santa Barbara’s Bren School, where I graduated with a 4.0 in 2023.

Feel free to reach out at andrewbartnik5@gmail.com or connect on LinkedIn.