Industrial Affiliates Annual Conference

The Annual Industrial Affiliates Conference will be attended by IA Program Members, Statistics Department faculty and graduate students. Affiliates will have an opportunity to meet the students and faculty, and will give a short presentation: a 25-minute, informal talk that introduces the speaker and the company, and offers a discussion of the role of statistics within that company, or even poses a statistical problem of particular interest to that company or industry.

We also expect a number of graduate students to present their research. This one-day event is intended to be informative and fun, with plenty of time for students and Affiliates to get to know each other better.

Friday, February 22, 2019
9am to 4:30pm 
Physics and Astrophysics Room 102/103

► 2019 Conference Program ◄

Session 1: Jacqueline Meulman

9:10    Mona Azadkia, 4th-year doctoral student — "A Simple Estimator of Conditional Dependence"
9:35    Sangho Yoon, Google
9:50    Itamar Herzberg, Google
10:05 Matteo Sesia, 4th-year doctoral student — "Deep Knockoffs"

Session 2: Trevor Hastie

10:55 Rina Friedberg, 4th-year doctoral student — "Leveraging Smoothness with Random Forests"
11:20 Hera He and Yuming Kuang, Two Sigma Investments
11:45 Keli Liu, 5th-year doctoral student — "Prediction When the Signal is Nonlinear and the Features are (Mostly) Junk"

Session 3: Guenther Walther

1:10 Michael Sklar, 3rd-year doctoral student — "Adaptive Arm Dropping in Sequential Multiple Assignment Randomized Trials"
1:35 Kenneth Church, Baidu Research
2:00 Nikolaos Ignatiadis, 3rd-year doctoral student — "Covariate Powered Cross-weighted Multiple Testing"

Session 4: John Chambers

2:50 Min Liu, LinkedIn
3:15 Fang Cai, 3rd-year doctoral student — "Estimation and Accuracy after Model Selection"
3:40 Brad Klingenberg, Stitch Fix