Erik Schomburg
Data scientist and software engineer in New York.
I build machine learning systems — training and inference pipelines, model services, and the analysis tooling that surrounds them. My background is in physics and neuroscience, and most of my work sits where careful analysis of messy, high-dimensional data meets the engineering required to run it in production.
I’m currently a research scientist at a nonprofit research institute, working on machine learning for large-scale connectomics: reconstructing the wiring of a brain from electron microscope imagery. Before that I spent several years building machine learning systems in industry, on problems spanning personalization, sensor and signal interpretation, and location inference.
I did my Ph.D. in physics at Caltech, studying the biophysical origins of electrical signals recorded in the brain, and continued that work as a postdoctoral researcher before moving into industry.
Outside of work, I’m involved with New York Kayak Polo, where I served as President for several years and am currently Vice President.