Taurean Dyer

Taurean leads the NVIDIA data science community for GPU accelerated data science. Using his diverse domain experience, he helps people understand and apply the “whys” and “hows” of GPU-accelerated computing. Before NVIDIA, Taurean was a researcher and innovation lead for a Fortune 100 technology lab, focused on developing new IP and capabilities for the future of work. His patented work has been featured at the White House, World Economic Forum, and shown at numerous conferences and publications. Taurean completed grad school in Mechanical Engineering from Stony Brook University, after receiving his double B.Eng in Mechanical Engineering and Applied Math and Statistics.