Industrial Affiliates Annual Conference

This highlight event is regularly attended by IA Program Members alongside Statistics Department faculty and graduate students. Affiliates have an opportunity to meet the students and faculty, as well as giving short presentations: each one is a 25-minute informal talk introducing the speaker and their company, offering a discussion of the role of statistics within that company, or even posing a statistical problem of particular interest to that company or industry. We also feature many of the department's upper-cohort graduate students presenting their research.

Visit the Conference Series page to see our past events

09:00 Welcome & Opening Remarks by Jacqueline Meulman

Session I: Jacqueline Meulman

09:05 Two Sigma – Maxime Cauchois and Fan Zhang "Forecasting financial returns using machine learning"

09:30 Aditya Ghosh "Practical bias-aware inference in regression discontinuity designs: An asymptotic view"

09:55 Google – Tong Geng and Fengshi Niu "Data science challenges in Ads measurement at Google"

10:20 James Yang "A fast and scalable pathwise-solver for group Lasso and elastic net penalized regression via block-coordinate descent

10:45 Morning Break

Session II: Guenther Walther

11:05 Munich Re – Michael Berger and Yuanyuan Li "Generative AI and copyright infringement risks"

11:30 Timothy Sudijono "Regression adjustments for experimental designs in two-sided marketplaces"

11:55 Alliance Innovation Labs - Silicon Valley – Vikram Krishnamurthy

12:20 Lunch

Session III: John Chambers

13:10 Harrison Li "Efficient estimation under structural restrictions on mean functions"

13:35 Citadel – James Johndrow "Some statistical challenges in Quant Finance"

14:00 Anav Sood "Selective inference is easier with p-values"

14:25 Afternoon Break

Session IV: Jacqueline Meulman

14:45 Zitong Yang "Synthetic continued pretraining"

15:10 BlackRock – Pierre Demartines and Li Yao

15:35 Xavier Gonzalez "Parallelizing nonlinear RNNs over their sequence length"

16:00 Closing Remarks