Machine Learning Team Lead - Surgical AI at Cloud-Native Geospatial Forum (CNG)
Washington DC-Baltimore Area United States
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Summary
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Senior
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Top School
Zhuang-fang Yi is a machine learning leader with ~10 years of experience building production-scale deep learning and computer vision systems across geospatial and surgical domains. Currently leading surgical AI at the Surgical Data Science Collective, she blends hands-on model development—ranging from vision transformers and time-series transformers to active learning pipelines—with mentoring and technical leadership. Her career includes scaling geospatial ML pipelines that analyzed tens of millions of agricultural fields and deploying models that work in data-sparse, global environments. She is passionate about foundation models for medicine and scientific applications and routinely drives end-to-end ownership from data strategy and MLOps to clinical collaboration. Outside engineering, she runs an art business that donates profits to conservation, humanitarian, and AI ethics causes, reflecting an uncommon mix of technical rigor and civic-minded creativity.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Ecological Economics, Doctor of Philosophy (Ph.D.), Ecological Economics at University of Chinese Academy of Sciences
Bachelor of Applied Science - BASc, Geography, Bachelor of Applied Science - BASc, Geography at Sun Yat-sen University
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Zhuang-fang Yi - Machine Learning Team Lead - Surgical AI at Cloud-Native Geospatial Forum (CNG)