My Favorite Model

External registration required at nyhackr.org.

Note the 7 PM start time.

We have a last minute change, with Daniel Lee, giving a talk about his favorite statistical model.

Thank you to NYU for hosting us.

Everybody attending must RSVP through the registration form at nyhackr.org. There is a charge for in-person and virtual tickets are free. Space is extremely limited and in-person registration closes at 3 PM the day of the talk.

About the Talk:
Over the past 20 years, I've worked on a lot of different applications including models in pharma for estimating oncology treatment efficacy and PK/PD models; estimating vote share for state and national elections; clinical trials for rare diseases and non-small-cell lung cancer; satellite control software for television and government; retail price sensitivity; data fusion for U.S. Navy applications; sabermetrics for an MLB team; and assessing “clutch” moments in the NFL. Out of everything I've worked on, I have a favorite model and I'll discuss why.

About Eric:
Daniel Lee is a staff data scientist at Teamworks, working on evaluation and projection for professional sports teams. He is a computational Bayesian statistician who helped create and develop Stan, the open-source statistical modeling language.

The venue doors open at 6:30 PM America/New_York where we will continue enjoying pizza together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at 7:00 PM America/New_York.

Remember, register at nyhackr.org.