Program 2022
The Monterey Data Conference is an annual invitation-only meeting in Monterey which brings together researchers from DOE national laboratories, facilities, universities, and industry to showcase and discuss the latest advances and open challenges in scientific data analysis and computing.
The theme for 2022 was Transforming Science with AI.
The conference program featured invited talks and panel discussions on Scalable and productive computing systems for AI, Interpretable, robust, science-informed AI methods, Novel scientific AI applications, AI for self-driving scientific facilities, Data management for scientific AI, and Computing and AI in Extreme Conditions.
Monday, August 29, 2022
7:00pm - 9:00pm Welcome Reception
Tuesday, August 30, 2022
08:45 - 09:00 Jonathan Carter (LBNL) - Introduction
09:00 - 10:00 Pamela Isom (DOE) - Modern day governance for AI and autonomous innovations
10:30 - 11:00 Aditi Krishnapriyan (LBNL, UC Berkeley) - Scientific machine learning with differentiable solvers
11:00 - 11:30 Anima Anandkumar (NVIDIA, Caltech) - AI for Science: Heralding Scientific Breakthroughs through AI
11:30 - 12:00 Peetak Mitra (PARC) - Modeling our future: Advancing climate research and optimizing intervention strategies using AI
13:30 - 14:00 Katie Lewis (LLNL) - Inertial Confinement on El Capitan (ICECap): AI Enabled Design at Exascale
14:00 - 14:30 Ben Nebgen (LANL) - Machine Learning for Physics Inspired Atomistic Models
14:30 - 15:00 Feiyi Wang (ORNL) - A Facility Perspective on Transforming Science using AI
15:30 - 16:00 Mohamed Ahmed (IBM) - ATOM – A unified AI, Data, and Automation Platform
16:00 - 17:00 Panel: Creating a strong workforce with diversity, equity, and inclusion (DEI) for scientific machine learning
20:00 - 21:00 Evening Reception
Wednesday, August 31, 2022
09:00 - 09:30 Vijay Janapa Reddi (Harvard, MLCommons) - MLPerf+DataPerf: Benchmarks for Model-centric and Data-centric AI
09:30 - 10:00 Michael Mahoney (LBNL) - Improved machine learning methods for scientific machine learning
10:30 - 12:00 Panel - Hardware for scientific AI
13:00 - 13:30 Dhabaleswar K. Panda (OSU) - Designing Next-Generation Intelligent Cyber-Infrastructure: An Overview of the NSF-AI ICICLE Institute
13:30 - 14:00 Ian Foster (ANL) - Inertial Confinement on El Capitan (ICECap): AI Enabled Design at Exascale
14:30 - 14:30 Martin Foltin (HPE) - Self-Learning Data Foundation for Scientific AI
14:30 - 15:00 Alok Choudhary (Northwestern U) - Accelerating Discovery and Design using AI
15:30 - 17:00 Panel: Data management for scientific AI
18:00 - 21:00 Dinner and Reception
Thursday, September 1, 2022
09:00 - 09:30 Xin Liu (UC Davis) - Use-Inspired AI in Next Generation Food Systems
09:30 - 10:00 Pete Beckman (ANL) - Data Analysis Starts with AI at the Edge
10:30 - 11:00 Nicholas Huang (UC Berkeley) - Data Processing and Selection at 90 Degrees South
11:00 - 11:30 Graham Mackintosh (NASA) - Space-borne Data and the Renaissance of Human Space Exploration
11:30 - 12:00 Kristofer Bouchard (LBNL) - Mind-meld: neuromorphic computing and brain
12:00 - 12:30 Panel: Computing in Extreme Environments
13:30 - 15:00 Special session on challenges in AI for self-driving facilities
