Summary
Noam Almog is a PhD candidate at NTNU’s Kavli Institute combining a decade of software engineering and data-science experience with rigorous neuroscience research. He blends hands-on expertise in signal processing, machine learning, and large-scale systems—having built neural-data pipelines, modeled grid-cell populations in fMRI, and worked with PySpark/Hadoop in industry. His background includes five years at NASA Ames developing air-traffic algorithms and production prototypes, plus a first-author neuroscience paper coauthored with two Nobel Laureates. Comfortable in 30+ programming environments, he moves between low-level embedded projects and cloud-native big-data stacks with equal ease. Colleagues describe him as a pattern-seeker who turns noisy biological and operational data into actionable models and reproducible code. Based in Trondheim, he brings a rare mix of academic depth and product-minded engineering to cross-disciplinary problems.
11 years of coding experience
13 years of employment as a software developer
Master of Science - MS, Neuroscience, 94%, Master of Science - MS, Neuroscience, 94% at Technion - Israel Institute of Technology
University of California Santa Cruz
Computer Science, Computer Science at Cabrillo College
Norwegian University of Science and Technology
English, Hebrew, Spanish