The Past, Present & Future of Statistics in the Era of AI: Conference Schedule

LoView the full conference schedule for the GW Department of Statistics' 90th anniversary event, "The Past, Present and Future of Statistics in the Era of AI." Visit the event page for registration and details.

Location: Rome Hall 457 (801 22nd St NW, Washington, DC 20052)

Session Time	Session Information
9 – 10 a.m.	Registration
10 a.m. – Noon	Short Course 1: Statistical foundations of deep learning Lizhen Lin (UMD)
Noon – 2 p.m.	Break
2 – 4 p.m.	Short Course 2: Introduction to reinforcement learning Zhengling Qi (GW)

Location: Jack Morton Auditorium (805 21st St NW, Washington, DC 20052)

Session Time	Session Information
8 – 8:50 a.m.	Registration
8:50 – 9 a.m.	Opening Remarks
9 – 10 a.m.	Kullback Session Annie Qu (UC Irvine)
10 – 10:30 a.m.	Coffee break
10:30 – 11:45 a.m.	Panel Discussion: Jiayang Sun (GMU) Katherine Jenny Thompson Grizem Korkmaz (Westat) Emre Barut (QKV Labs)
11:45 – 1:30 p.m.	Lunch
1:30 – 2:30 p.m.	Cornfield Session: Susan Murphy (Harvard)
2:30 – 3 p.m.	Coffee break
3 – 4:15 p.m.	Greenhouse Session: Kimberly Sellers (NC State) Susan Ellenberg (Penn) William Rosenberger (GMU)
4:15 – 5:45 p.m.	Poster Session: Rome Hall 7th Floor Lobby Note: location change
6 – 8:30 p.m.	Banquet Dinner

Location: Jack Morton Auditorium (805 21st St NW, Washington, DC 20052)

Session Time	Session Information
8 – 9 a.m.	Registration
9 – 10:15 a.m.	Weida Session: Jian Huang (Hong Kong Polytech) L.J. Wei (Harvard) Kannan Natarajan (Pfizer)
10:15 – 10:45 a.m.	Coffee break
10:45 a.m. – Noon	Gastwirth Session: Yang Liu (Renmin U) Zhuoran Yang (Yale) Weijie Su (Penn)
Noon – 12:15 p.m.	Closing Remarks

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