Seojin Bang is a founding researcher and AI scientist based in Mountain View with eight years of experience advancing machine reasoning and embodied intelligence. After a PhD in Computational Biology from Carnegie Mellon and prior roles as an applied scientist at Amazon and senior software engineer at Google DeepMind, Seojin now builds next-generation intelligence at Elorian AI focused on how models perceive and act in the physical world. Their work blends rigorous statistical training with systems-level engineering to rethink reasoning beyond pattern recognition, aiming to close gaps between human-like inference and actionable behavior. Known for bridging academia and product-grade research, Seojin brings deep quantitative foundations and hands-on implementation experience to high-impact AI problems.
8 years of coding experience
5 years of employment as a software developer
Master of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at Seoul National University
PhD in Computational Biology, School of Computer Science, PhD in Computational Biology, School of Computer Science at Carnegie Mellon University
Bachelor of Science (B.S.), Mathematics Education and Statistics, Bachelor of Science (B.S.), Mathematics Education and Statistics at Sungkyunkwan University
Contributions:46 commits, 45 pushes, 3 branches in 3 years 8 months
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