Yun-chun Chen
Applied Scientist II at Amazon Web Services (AWS)
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolYun-chun Chen is an Applied Scientist II at AWS with a PhD in Computer Science from the University of Toronto and nine years of research and industry experience across multimodal LLMs, agentic AI, and vision foundation models. Their background blends deep academic work at Toronto and the Vector Institute with hands-on internships at Meta, Adobe, and NVIDIA, enabling transitions from novel research to production-ready systems. Based in the San Francisco Bay Area, they focus on bridging multimodal model capabilities with practical agentic behaviors and scalable vision backbones. Notably, their trajectory includes sustained collaboration across top labs and industry R&D teams, reflecting both theoretical rigor and applied engineering impact.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering, Bachelor of Science - BS Electrical Engineering at National Taiwan UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of TorontoProgramming languages (2)
Github contributions (5)
YunChunChen/MaCoSNet-pytorch
Jun 2019 - Mar 2020
[PAMI 2020] Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation
Contributions:21 commits, 6 pushes in 9 months
YunChunChen/WeakMatchNet
Oct 2018 - Nov 2018
Contributions:9 commits, 8 pushes, 1 branch in 1 month
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