Research Scholar (AI ML Analytics) at North Carolina Institute for Climate Studies
Asheville, North Carolina, United States
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Summary
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Senior
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Top School
Garrett Graham is a research scholar who blends a PhD in bioengineering with a decade of hands-on AI/ML and cloud engineering to build production systems that accelerate scientific discovery. He has moved from DARPA-funded microfluidic biosensor platforms and genome-scale transcriptional modeling to architecting agentic LLM-based scientific assistants and AWS infrastructures used by 60+ NOAA scientists. His work spans wet lab CRISPR engineering and synthetic biology to Conv-LSTM deep learning for satellite bias correction (reporting >20x MSE improvement) and scalable NetCDF→Zarr pipelines. A practical leader and teacher, he’s led multidisciplinary teams, created an Earth Systems Data Science course for 70+ scientists, and operationalized complex models with Pulumi and Bedrock. Notably, he combines domain intuition about messy biological and climate data with production ML design—turning unruly datasets into reliable, explainable tools for federal science.
10 years of coding experience
9 years of employment as a software developer
University of California, San Diego
Bachelor of Science - BS Mathematics & physics, Bachelor of Science - BS Mathematics & physics at University of Richmond
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Garrett Graham - Research Scholar (AI ML Analytics) at North Carolina Institute for Climate Studies