Richard is a Seattle area data scientist who builds predictive models and the services that deliver them. He earned a PhD in Applied and Computational Math from Princeton University, and left academia for the dark side of science (industry) in 2010, following his wife to the land of flannel.
Fan of coffee, beer, backpacking and puns. Enjoys a day on the lake fishing, and, better, cooking up the catch for a crowd.
This is post 11 of 19 in the series “Bracketeering” March Madness Bracketeering Applied Bracketeering: Modeling March Madness Bracketeering update: Mascot randomness is beating the...More
This is post 10 of 19 in the series “Bracketeering” March Madness Bracketeering Applied Bracketeering: Modeling March Madness Bracketeering update: Mascot randomness is beating the...More
This is post 9 of 19 in the series “Bracketeering” March Madness Bracketeering Applied Bracketeering: Modeling March Madness Bracketeering update: Mascot randomness is beating the...More
This is post 8 of 19 in the series “Bracketeering” March Madness Bracketeering Applied Bracketeering: Modeling March Madness Bracketeering update: Mascot randomness is beating the...More
This is post 7 of 19 in the series “Bracketeering” March Madness Bracketeering Applied Bracketeering: Modeling March Madness Bracketeering update: Mascot randomness is beating the...More