Program 2019
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 inaugural theme for 2019 is Deep Learning for Science. Over the past several years we have seen rapid innovations in this field which promise to transform many scientific disciplines and enable new kinds of scientific discovery. At the same time, the field is still in its adolescence, and various challenges remain to fully realize deep learning solutions in scientific workflows.
The conference program will feature invited talks on cutting edge deep learning methods relevant for science, applications of deep learning in scientific domains such as physics, chemistry, and bioscience, and panel discussions on hardware, software, and applications in experimental facilities.
Monday, August 5, 2019
7:00pm - 9:00pm Welcome Reception
Tuesday, August 6, 2019
09:00 - 09:05 Horst Simon (LBNL) - Welcome
09:05 - 09:35 Kathy Yelick (LBNL) - Machine Learning for Science
09:35 - 10:05 Rick Stevens (ANL) - Deep Learning for Precision Medicine for Cancer
10:30 - 11:00 Kerstin Kleese van Dam (BNL) - HPC, ML and AI for Large Scale Experimental Facilities
11:00 - 11:30 Diane Oyen (LANL) - Explaining Patterns in Scientific Data Using Machine Learning
11:30 - 12:15 Panel: Methods for Machine Learning and Deep Learning
13:30 - 15:00 Panel: Hardware for Deep Learning
15:30 - 17:00 Panel: Systems for Deep Learning
Wednesday, August 7, 2019
09:00 - 09:30 Maria Spriropulu (Caltech) - Deep Learning for Particle Physics
09:30 - 10:00 Rushil Anirudh (LLNL) - Building Robust Surrogates in Inertial Confinement Fusion with Cyclical Regularization
10:30 - 11:00 Maxim Ziatdinov (ORNL) - Deep Learning for Materials: Extracting Physics from Atom-resolved and Molecule-resolved Experiments
11:00 - 11:30 Bill Tang (PPPL) - AI/Deep Learning for Fusion Energy Disruption Prediction and Control
11:30 - 12:00 Prabhat (LBNL) - Deep Learning for Climate
13:30 - 15:00 Panel: Software for Deep Learning
15:30 - 17:00 Panel: Deep Learning for Facilities
19:00 - 21:30 Conference Dinner at the Monterey Bay Aquarium
Thursday, August 8, 2019
09:00 - 09:30 Maya Gupta (Google) - Deep Learning Common Sense Guarantees
09:30 - 10:00 Maziar Raissi (Brown) - Physics Informed Deep Learning
10:30 - 11:00 Ben Brown (UC Berkeley) - Deep Learning for Biosciences
11:00 - 11:30 Robert Rallo (PNNL) - Deep Learning for Scientific Discovery: Challenges and Opportunities
11:30 - 12:00 Closing Discussion
