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Having Fun With Big Data

Friday, January 8, 2016

Time and Location

Friday, January 8, 2016
Registration and Light Meal: 6:30pm - 7:00pm
Talk and Q&A: 7:00pm - 8:30pm

Yale Center Beijing
8 Jianguomenwai Avenue, 36th Floor, Tower B, IFC Building (Yong’anli Station, Exit C)

Registration and Fees

Tickets: Free for students with valid ID; RMB 50 for non-students

Click HERE to register via EventBank.

Please email yalecenterbeijing@yale.edu if you have any questions, or call Yale Center Beijing at (10) 5909 0200.

The Event

This talk will provide detailed descriptions of a few of Professor Emerson’s research projects in Statistics and Data Science. It will not require any technical expertise to understand, so everyone can enjoy. Questions are welcome and encouraged throughout the talk. It will include interesting topics such as the Environmental Performance Index (presented at the World Economic Forum in Davos, Switzerland); the stock options backdating scandal (a collaborative effort with reporters from the Wall Street Journal); and statistical analyses of Olympic judging (figure skating and diving).

LANGUAGE

The language of the event will be English.

The Speaker

John W. (Jay) Emerson
Professor & Director of Graduate Studies at Department of Statistics, Yale University

John W. Emerson (Jay) is Director of Graduate Studies at Yale University's Department of Statistics. He teaches a range of graduate and undergraduate courses as well as workshops, tutorials, and short courses at all levels around the world. His interests are in computational statistics and graphics, and his applied work ranges from topics such as sports statistics to bioinformatics, environmental statistics, and Big Data challenges. He is the author of several R packages including bcp (for Bayesian change point analysis), bigmemory and sister packages (towards a scalable solution for statistical computing with massive data), and gpairs (for generalized pairs plots). His teaching style is engaging and his workshops are active, hands-on learning experiences.

Public Event