Summary
Joseph Glanzberg is a data-driven computational neuroscientist and EMT with nine years of analytical experience translating complex datasets into actionable insights for clinical and customer-facing teams. He combines strong SQL, R, and Python skills with machine learning expertise—having built RNNs and multimodal models for published neural behavior research and trained TensorFlow object-detection pipelines on shared HPC resources. Comfortable communicating to both executives and clinicians, he has a track record of improving workflows, reducing ED wait times through coordinated handoffs, and designing dashboards that clarify operational performance. Equally at home in the lab, the emergency scene, and the startup world, Joseph pairs rigorous statistical practice with hands-on problem solving and a knack for turning experimental findings into reproducible tools.
9 years of coding experience
3 years of employment as a software developer
Brooklyn Technical High School
Bachelor of Science - BS, Computational Neuroscience, Bachelor of Science - BS, Computational Neuroscience at Carnegie Mellon University