XY Research - Advanced Sports Analytics
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At the University of Washington. Most recently, I have been working with Peter Hoff. On methods for high-dimensional covariance estimation. I am collaborating with Daniel Promislow.
Prior to this, I was a Moore-Sloan Data Science Fellow. In 2015, I completed a PhD in Statistics at Harvard University.
Neyman Visiting Assistant Professor, Department of Statistics, UC Berkeley. I am currently the acting Neyman Visiting Assistant Professor in the Department of Statistics at UC Berkeley. I am also a PhD candidate in the Department of Statistics at Harvard University, where I am advised by Edoardo Airoldi. I am a member of the Harvard Laboratory for Applied Statistical Methodology and Data Science. I am an active member of the XY Research. Misspecification, Sparsity, and Superpopulation Inference for Spars.
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XY Research - Advanced Sports AnalyticsDESCRIPTION
We study problems at the intersection of Sports Analytics and current research in Statistics, Machine Learning, and Visualization. Using innovative methods, we get novel inferences from big data sets, such as SportVu NBA optical tracking data. Expected Possession Value, Counterpoints and many more. Methodology for Sports Analytics. Tools and theory for intelligent analysis of big data. Play detection, ball movement, resource allocation. Our projects aim to demonstrate how new forms of sports intelligence.CONTENT
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