PAI Symposium Schedule
Tuesday, May 20, 2025
(Schedule Subject to Change)
8:00 AM - 9:00 AM Breakfast, Registration and Check-in
9:00 AM - 9:05 AM Opening Remarks 1
Speaker: Lene Hau (Harvard SEAS)
9:05 AM - 9:45 AM PAI Introduction
Speaker: Le Xie and Minlan Yu
9:45 AM - 10:45 AM Panel 1: Grid (Technical) Reformation for AI Data Centers
Moderator: William Hogan (Harvard Kennedy School), Panelists: Arin Kaye (EPRI), Lane Dilg (OpenAI), Carole-Jean Wu (Meta), Tongxin Zheng (ISO New England)
10:45 AM - 11:00 AM Break
11:00 AM - 12:00 PM Panel 2: Policy/Business Issues on AI and Power Grids
Moderator: Henry Lee (Harvard Kennedy School), Panelists: Erik Belz (Engine No.1), Keith Benes (Formerly DOE), Pearl Donohoo-Vallett (FERC), Howard Gugel (NERC)
12:00 PM - 1:15 PM Working Lunch
1:20 PM - 1:30 PM Opening Remarks 2
Speaker: Jim Stock (The Salata Institute at Harvard)
1:30 PM - 2:30 PM Panel 3: Full Stack Redesign of AI Infrastructure for Energy Efficiency
Moderator: Minlan Yu (Harvard SEAS), Panelists: Jeffrey Burns (IBM), Esha Choukse (Microsoft), Christos Kozyrakis (Nvidia), Houle Gan (Google)
2:30 PM - 3:30 PM Panel 4: AI to Modernize the Grid
Moderator: Francesca Dominici (Harvard T.H. Chan School of Public Health), Panelists: Asim Fazlagic (Eversource Energy), Prashant Kansal (ERCOT), Taiil Kim (Schneider Electric), Xing Wang (AWS)
3:30 PM - 3:45 PM Break
3:45 PM - 4:15 PM Academic Pitch (lightning talks)
Conleigh Byers (Harvard), Noman Bashir (MIT), Jae-Won Chung (University of Michigan), Yize Chen (University of Alberta), Sarah Keren (Technion), Yicheng Zhu (UC Berkeley)
4:15 PM - 4:30 PM Concluding Remarks
4:30 PM - 5:30 PM Reception and Poster Presentation
Wednesday, May 21st, 2025
Key Course Information
Short Course Schedule
8:30 AM - 9:30 AM Arrival and Continental Breakfast
9:30 AM - 10:45 AM Session 1: Grid Operation Basics
10:45 AM - 11:00 AM Break
11:00 AM - 12:15 PM Session 2: Introduction to AI and Its Recent Advances in Power Systems
12:15 PM - 1:15 PM Lunch
1:15 PM - 2:30 PM Session 3: Energy-efficient AI Infrastructure I: datacenter architecture, LLM training, and inference systems
2:30 PM - 2:45 PM Break
2:45 PM - 4:00 PM Session 4: Energy-efficient AI Infrastructure II: datacenter architecture, LLM training, and inference systems
4:00 PM - 4:30 PM Session 5: Green AI Report and Use Cases
4:30 PM - 5:00 PM Closing Ceremonies
Teaching Team
Le Xie, Gordon McKay Professor of Electrical Engineering, SEAS
Minlan Yu, Gordon McKay Professor of Computer Science, SEAS