I build technical systems at the intersection of optical physics, machine learning, data science, and engineering communication. My work spans photonic simulation, experimental modeling, AI workflows, and translating complex results into actionable decisions.
MVP launch version — selected projects and media will continue to expand.
I’m a physicist and machine learning engineer with experience spanning photonic device simulation, scientific computing, computer vision pipelines, and technical communication across research and applied engineering environments.
My background includes optical simulation and analysis using Lumerical and MATLAB, machine learning and signal processing work at Nielsen, and project-based AI development involving language models, retrieval systems, and production-oriented Python workflows. I enjoy building tools that are technically rigorous, practically useful, and clearly communicated.
This site is the foundation of a broader portfolio that will continue to grow over time, including selected talks, technical projects, and production-ready demos.
Start with the strongest proof points. Add depth later.
Simulated photonic device behavior and optical coupling characteristics using Lumerical and MATLAB-based workflows.
Ongoing project focused on creating a philosophically grounded conversational system using curated lecture material, structured datasets, and modern LLM workflows.
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Simple, direct, and professional.
Email: brooks@brookschristensen.com
LinkedIn: linkedin.com/in/brooks-christensen
GitHub: github.com/brooks-christensen