Summary
Trey Saddler is a data-driven research scientist and SME with a decade of experience building reproducible data pipelines, interactive web applications, and AI-enabled tools for environmental health research. Based in Durham, NC, he has led deployments of internal LLM interfaces, trained NIH developers on open-source AI stacks, and secured NIH funding to explore cloud-based LLM use for toxicology. Comfortable across R, Python, Quarto, Docker, HPC and vector databases (Chroma, FAISS, pgvector), he bridges toxicoinformatics and production engineering to turn complex biological data into searchable, actionable assets. Trey’s work emphasizes reproducibility and FAIR data practices—he authored an NIEHS developer guide and operationalized Posit Teams and Slurm-based pipelines—showing a mix of domain science and pragmatic tooling rarely seen together.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science Life Sciences, Bachelor of Science Life Sciences at Salish Kootenai College
Master of Science - MS Data Analytics, Master of Science - MS Data Analytics at Western Governors University
English, Spanish