Summary
Guan-lin Chao is a Senior Research Scientist with 11 years of experience focused on dialogue systems, multi-modal interaction, and speech and language ML, currently working at Zoom after leading ASR and VAD efforts on Azure AI at Microsoft. He completed a PhD in Electrical and Computer Engineering at Carnegie Mellon where his thesis, “Multi-Modal Situated Dialogue Applications,” bridged vision-grounded dialogue and audio-visual speech recognition. At Microsoft he shipped production-grade ASR and VAD models across dozens of languages and locales and built LLM-based data augmentation pipelines for multilingual speech recognition. His internships at Google produced state-of-the-art dialogue state tracking and multi-turn video QA approaches, reflecting a knack for turning research into competitive benchmarks. Comfortable across academia and product-focused engineering, he combines deep algorithmic expertise with a track record of shipping scalable speech and dialogue systems. An understated strength is his consistent focus on multimodal grounding—designing systems that tie language to vision and audio in real-world, situated applications.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS) Electrical Engineering, Bachelor of Science (BS) Electrical Engineering at National Taiwan University
Doctor of Philosophy (PhD) Electrical and Computer Engineering, Doctor of Philosophy (PhD) Electrical and Computer Engineering at Carnegie Mellon University
English, Chinese, Dutch