Summary
Benjamin Land is a Director of Enterprise Analytics & Data Science with 17 years of experience bridging particle physics research and production ML at scale. A PhD physicist turned data scientist, he designs low-maintenance, petabyte-scale feature stores and fully automated model serving stacks that operationalize deep learning, graph methods, and NLP across the enterprise. At Comcast he progressed from lead data scientist to senior manager and now director, combining hands-on engineering, research rigor, and product-oriented delivery. He has a strong foundation in neutrino physics and quantum experiments, which informs his analytical rigor and novel approach to complex data problems. Known as an "LLM whisperer" and automation enthusiast, he focuses on making advanced models reliable, efficient, and actionable.
17 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of California, Berkeley
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Georgia Institute of Technology