The Annual Industrial Affiliates Conference is moving to a new home on our calendar, taking place during Autumn Quarter each year, starting in November! This highlight event will be attended by IA Program Members alongside Statistics Department faculty and graduate students. Affiliates will have an opportunity to meet the students and faculty, and will give short presentations: 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 full-day event is intended to be informative and fun, with plenty of time for students and Affiliates to get to know each other better.
―2019 Conference Program―
09:00a Welcome & Opening Remarks: Art Owen
Session I: Art Owen
09:10a Ismael Lemhadri, 3rd-year doctoral student: "A neural network with feature sparsity"
09:30a Ali Amini, Google
09:45a Meeyoung Park, Google
10:00a Sangho Yoon, Google
10:15a Kenneth Tay, 4th-year doctoral student: "Reluctant additive modeling"
10:35a Morning Break
Session II: John Chambers
11:00a Brad Klingenberg, Stitch Fix
11:25a Elena Tuzhilina, 3rd-year doctoral student: "A weighted principal curve approach to inferring 3D chromatin architecture"
11:45a Pierre Demartines, BlackRock
Session III: John Duchi
01:10p Yuming Kuang & Dai Shi, Two Sigma
01:35p Nima Hamidi, 5th-year doctoral student: "Personalizing many decisions with high-dimensional covariates"
01:55p Evan Patterson, 5th-year doctoral student: "Semantic modeling of data science code"
02:15p Mike Urias, Citadel
02:40p Afternoon Break
Session IV: Guenther Walther
03:05p Zijun Gao, 3rd-year doctoral student: "Average distance minimization matching in causal inference"
03:25p Min Liu, LinkedIn
03:50p Stephen Bates, 5th-year doctoral student: "Metropolized knockoff sampling"
04:10p Closing Remarks: Guenther Walther