Department Events

Upcoming Events

December
1
December
9

Past Events

Date
Thursday, October 27, 2022, 4:30pm
Ghostly greetings! Autumn is in the air and the spookiest night of the year is approaching fast.
Date
Thursday, October 6, 2022, 3:30pm
We'll be having the first weekly tea for Autumn on October 6th at 3:30pm. We hope to see you every Thursday this quarter for lots of snacks, maybe games, and some non-tea beverages as well. Welcome back!
Date
Thursday, September 29, 2022, 4:00pm
Hi Statistics Folks, please join us for appetizers and drinks at the Department of Statistics Welcome / Welcome Back party on Thursday, September 29th, from 4 to 5:30pm. Family members are also welcome and we look forward to seeing everyone!
Date
Saturday, August 6, 2022, 2:00pm
Asher Spector won in the finals against Xavier Gonzalez! 
Date
Thursday, August 4, 2022, 3:00pm
Come and enjoy the official taste of summer!
Date
Monday, April 11, 2022, 2:45pm
Speaker
Erol Peköz, Boston University
In this special series of five talks, teaching candidates will demonstrate instruction to undergrads in an introductory data science course, on one of three suggested topics.
Date
Wednesday, April 6, 2022, 4:30pm
Speaker
Joanna Lankester, Stanford Medicine
In this special series of five talks, teaching candidates will demonstrate instruction to undergrads in an introductory data science course, on one of three suggested topics.
Date
Monday, April 4, 2022, 2:45pm
Speaker
Gene B. Kim, Stanford Math
In this special series of five talks, teaching candidates will demonstrate instruction to undergrads in an introductory data science course, on one of three suggested topics.
Date
Wednesday, March 30, 2022, 4:30pm
Speaker
Dennis Sun, Cal Poly & Google
In this special series of five talks, teaching candidates will demonstrate instruction to undergrads in an introductory data science course, on one of three suggested topics.
Date
Wednesday, March 9, 2022, 4:30pm
Speaker
Raja Sooriamurthi, Carnegie Mellon
In this special series of five talks, teaching candidates will demonstrate instruction to undergrads in an introductory data science course, on one of three suggested topics.