Summary
Suwon Shon is an AI research scientist with eight years of experience specializing in machine learning for speech, speaker, language and dialect recognition, acoustic scene analysis, and source localization. After doctoral and postdoctoral work at Korea University and MIT CSAIL's Spoken Language Systems group, Suwon advanced research at ASAPP and recently joined Meta to bring cutting-edge speech technologies toward production-scale applications. He blends deep academic rigor with industry pragmatism, having worked across academia, startups, and large tech to move models from novel algorithms to deployed systems. Notably, his work bridges robust multilingual and dialect-aware recognition with practical source-localization and acoustic-scene tasks—a combination that improves real-world voice AI performance in noisy, diverse environments.
8 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electronics Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electronics Electrical and Computer Engineering at Korea University