Summary
Trevor Clack is a data scientist with 8 years of multidisciplinary experience bridging physics, engineering and applied machine learning to deliver production-ready, containerized analytics on geospatial and scientific data. He has applied Python at scale for NOAA satellite processing, built tools for near‑real‑time environmental monitoring (e.g., active fire detection, soil moisture, ocean heat content), and translated legacy pipelines into modern, maintainable systems. A former nuclear machinist mate and high‑school AP teacher, Trevor combines rigorous systems thinking and clear technical communication to mediate between researchers and HPC/operational environments. He holds a BS in Physics and advanced study in mechanical and cyber-physical systems, and pursues climate impact work driven by a practical ethic to not be a bystander as the world changes.
7 years of coding experience
1 year of employment as a software developer
Associate of Science - AS Chemistry Physics and Math, Associate of Science - AS Chemistry Physics and Math at Saddleback College
University of California, Irvine
The University of Melbourne
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at UC Santa Barbara
Data Science & Machine Learning, Data Science & Machine Learning at BloomTech
French, Spanish, English, Chinese