Taylor W.

Principal Data Scientist (full Stack Machine Learning Engineer) at Material Bank

Taylor W. is a Principal Data Scientist at Material Bank®, specializing in full-stack machine learning engineering with a focus on conversational GenAI/LLM interfaces and advanced product recommendation systems. Previous roles include Senior Data Scientist at Pagaya, where Taylor applied machine learning and big data analytics in asset management, and various positions at Philips, contributing to clinical decision support and innovative solutions in healthcare. Taylor has a notable background in research at Google and Kaggle, achieving significant competition accolades, and has served as a research consultant and teaching assistant at Boston University. Taylor holds a PhD in Systems Engineering from Boston University.

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Material Bank

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Material Bank® is a marketplace for design professionals and brands in the architecture and design industry, providing the fastest and most powerful way to discover and sample materials.


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51-200

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