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Speaker "Leo Tam" Details Back

 

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Leo Tam serves as a Senior Solutions Architect and Deep Learning Community Manager, part of the NALA-based, World Wide Field Organization (WWFO). He focusses on curating open source tools, advising and architecting solutions for enterprise applications, and contributing to the Deep Learning Institute, which his team established. Leo Tam brings to NVIDIA 10 years of R&D experience, previously as a research scientist at Stanford’s School of Medicine. He is a top performer in algorithm's competitions including an algorithm placed in the top 3% of a world-wide competition sponsored by the California Healthcare Foundation and second place in a commodities trading competition. Leo holds multiple patents for MRI machine learning and encoding methods developed as a research scientist at the Yale University School of Medicine. Leo earned his BSc in Mathematics-Physics from Brown University and PhD from Yale University.