As a data enthusiast, Ricky loves to think the real life issues in a quantitative way. He likes to talk about probability and alternative. He’s proud of his Bayesian skepticism based on years of scientific training. He was trained to be an experimental biologist in China, and then a computational biologist in Tennessee until one day he found himself more interested in applying his quantitative skills to solve real business issues. After accomplishing his PhD in Computational Biology and Master in Statistics, and an enjoyable and fruitful internship as data scientist in Silicon Valley, he came to explore the Big Apple and joined the NYC Data Science Fellowship to further develop his data scientist career.
INTRODUCTION The theoretical discovery and experimental observation of the tau tau decay of Higgs boson is a milestone in particle physics that “contributes to our understanding […]
In the last season of the major European soccer leagues, Barcelona, Paris Saint-German, Bayern Munich and Juventus won the title in their own league. The […]
Introduction Biomarkers are widely used in clinical research and their presence as primary endpoints in clinical trials is now accepted almost without question. What is a […]
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