I don’t know how many of you have come across this blog, simply statistics https://simplystatistics.org, but he is one of the main contributors, and to say, he’s expert on batch effect and meta-analysis.

https://simplystatistics.org/2018/02/08/what-do-fahrenheit-comma-separated-files-and-markdown-have-in-common/

CBB_seminar_series_May_ template.pdf

Title: The Library of Babel: On Trying to Read My Genome

Information and Abstract:

Applied Data Science Seminar. Not long ago, information about our DNA was virtually impossible to gain. Now, thanks to the falling cost of DNA sequencing and the growing power of bioinformatics, genetic information is undergoing a Gutenberg-scale explosion of popularity. Millions of people are paying for DNA tests from companies like 23andMe and Ancestry.com, and they are getting unprecedented amounts of information about their ancestry and hereditary diseases. For my latest book, “She Has Her Mother’s Laugh,” I got my genome sequenced and enlisted scientists at Yale and elsewhere to help me interpret it. In my talk, I’ll discuss the results of that exploration–at once enlightening and baffling

For more details and upcoming events visit our website at
http://statistics.yale.edu/ .

“Toward theoretical understanding of deep learning”

Speaker: Professor Sanjeev Arora

Princeton University & Institute for Advanced Study

Tomorrow – Wednesday, April 18, 2018, 12:00-1:00pm

Location: Yale Institute for Network Science, 17 Hillhouse Avenue, 3rd floor

Abstract: This talk will be a survey of ongoing efforts and recent results to develop better theoretical understanding of deep learning, from expressiveness to optimization to generalization theory. We will see the (limited) success that has been achieved and the open questions it leads to. (My expository articles appear at
www.offconvex.org (link is external))

Bio: Sanjeev Arora is Charles C. Fitzmorris Professor of Computer Science at Princeton University and Visiting Professor at the Institute for Advanced Study. He is an expert in theoretical computer science, especially theoretical ML. He has received the Packard Fellowship (1997), Simons Investigator Award (2012), Goedel Prize (2001 and 2010), ACM-Infosys Foundation Award in the Computing Sciences (now called the ACM prize) (2012), and the Fulkerson Prize in Discrete Math (2012).

Upcoming:

4/25/18: Adam Auton (23andme)

5/2/18: Andre Levchenko