I am a scientist and entrepreneur leading ML/AI teams and efforts in the Seattle area. I earned my Ph.D. in computational astrophysics from the University of Washington, developing source characterization algorithms for a NASA/DOE Gamma Ray Telescope. I then became involved in numerical simulation, modeling, Monte-Carlo particle transport, machine learning and anomaly detection, as well as in the direction of international nuclear policy. I served as project manager and science lead for numerous research efforts and was involved in development of computer vision algorithms, spatial object localization, deep learning for anomaly detection and NLP. A passion for entrepreneurialism and developing algorithms to empower business products led me to the startup world, where I have led ML/AI concepts and teams across a broad spectrum in an R&D environment, and applied descriptive and inferential statistics to marketing, and process optimization for business. I have been active in the areas of Image Generation Models (e.g. StableDiffusion) and Large Language Models (LLM) (e.g. the GPT series) for many years and am excited for the future of tech in these areas. I also produce the occasional academic paper about my research and continue to operate at the nexus of tech development, business and management.In my free time, you can often find me bicycling, participating in or helping to organize LARP events, or speaking at conventions about the nature of science and technology in pop culture and the future of the modern world.