Summary
Matthew Olson is a Principal Applied Scientist and AI researcher with eight years of experience building multimodal and explainable ML systems across national labs, academia, and industry. He holds a PhD in AI from Oregon State University and has led work that accelerated scientific simulations by 4000x, advanced few-shot sim-to-real prediction, and produced top-tier papers on explaining RL agents and dataset shift. At Intel Labs and now Oracle he focuses on large-scale multimodal models, AI safety, and interpretability, with hands-on experience deploying Llama2-based RAG systems and using ChatGPT4-V for automated visualization tuning. He blends deep research rigor with production engineering—spanning PyTorch, Kubernetes, Docker, and FastAPI—and has a track record of translating novel generative model algorithms into practical tools for science and industry.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Oregon State University