New York Scientific
Data Summit 2020:
Data Summit 2020:
Data-Driven Discovery in
Science and Industry
Science and Industry
This conference will be held as an interactive virtual event
October 20–23, 2021
October 20–23, 2021
NYSDS Conference Talks & Proceedings
Conference Talks
Tuesday, October 20, 2020 (Climate)
- Keynote: Climate, Carbon, and Water–Tracking and Anticipating Human Impacts
Dr. Anna Michalak, (Director of the Department of Global Ecology of the Carnegie Institution for Science and Professor in the Department of Earth System Science at Stanford University) - Quantifying parameter uncertainty within a climate model | Video Version of Talk
Oliver Dunbar (California Institute of Technology) - Numerical Methods for Predicting Coastal Flooding With Uncertainty | Video Version of Talk
Kyle Mandli (Columbia University)
- LT1: Artificial Intelligence for the Accuracy and Speed of Multiscale Modeling
- LT2: Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments using Machine Learning
- LT3: Multitask Learning and Multi-Armed Bandit-Based Bayesian Optimization for High-Performance Computing Applications
- LT4: Alzheimer’s Disease Prognosis Using Graph Convolutional Neural Networks
- LT5: Examining Graph Topology using Quantum Walks
Speakers: Wednesday, October 21, 2020 (Critical Infrastructure/Manufacturing)
- Keynote: Risk in power grids | Video Version of Talk
Daniel Bienstock (Columbia University) - Cyber-Physical Systems for Smart Cities: a Mobility Perspective | Video Version of Talk
Desheng Zhang (Rutgers University) - Computational Modeling at GE | Video Version of Talk
Richard Arthur (General Electric Research)
- LT1: Identifying Complex Physics Relationships using Sparse Matrix Decomposition to Inform Plasma Fusion Design
- LT2: Using Unstructured Data to Improve Homelessness and Suicide Prediction
- LT3: e3nn: 3D Euclidean Symmetry Equivariant Neural Networks–Learning from the Geometry and Geometric Tensors of Physical Systems
Speakers: Thursday, October 22, 2020 (Health and Medicine)
- Keynote:
Re-Engineering the Future of Health with Predictive Models | Video Version of Talk
Dr. Grace C.Y. Peng (National Institutes of Health) -
Applications of AI in Cancer Research–Preparations, Progress, and Predictions
Dr. Eric Stahlberg (Director of Biomedical Informatics and Data Science at Frederick National Laboratory for Cancer Research) -
Data-driven Modeling of COVID-19: Lessons Learned
Dr. Ellen Kuhl (Robert Bosch Chair of Mechanical Engineering at Stanford University) -
Computational Microscopy of SARS-CoV-2
Dr. Rommie E. Amaro (Distinguished Professor in Theoretical and Computational Chemistry at the Department of Chemistry and Biochemistry at the University of California, San Diego)
Speakers: Friday, October 23, 2020 (Cross Cutting Topics)
- Keynote:
Drug Design and Discovery for SARS-CoV-2 by Integrating Artificial Intelligence and Physics-based Models
Dr. Arvind Ramanathan (A computational biologist at Argonne National Laboratory and a senior scientist at the University of Chicago Consortium for Advanced Science and Engineering, ) - The Quantum Many-body Problem as a Challenge for Machine Learning Methods | Video Version of Talk
Giuseppe Carleo (EPFL, Switzerland) - The non-uniform FFT and its applications | Video Version of Talk
Leslie Greengard (New York University) - HPC+AI: pushing molecular dynamics simulation with ab initio accuracy to 100 million atoms | Video Version of Talk
Lin Lin (University of California - Berkeley)
