DSI Colloquium Series Event
Co-Sponsored by DSI’s Frontiers in Computing Systems Group and the Department of Applied Physics and Applied Mathematics
"Data Driven Discovery and Decision Making - A Paradigm Shift for Large Scale Experimental Science"
Kerstin Kleese van Dam
Director, Computational Science Initiative
Brookhaven National Laboratory
Abstract: New instrument technologies are enabling a new generation of in-situ and in-operando experiments, with extremely fine spatial and temporal resolution, that allows researchers to observe as physics, chemistry and biology are happening. These new methodologies go hand in hand with an exponential growth in data volumes and rates - petabyte scale data collections and terabyte/sec.
At the same time, scientists are pushing for a paradigm shift. As they can now observe processes in intricate details, they want to analyze, interpret and control those processes. Given the multitude of voluminous, heterogenous data streams involved in every single experiment, novel realtime, data-driven analysis and decision support approaches are needed to realize their vision.
This talk will discuss state-of-the-art streaming analysis for experimental facilities, its challenges and early successes. It will present work currently carried out at Brookhaven National Laboratory and identify areas for collaboration.
Bio: Kerstin Kleese van Dam is the director of the Computational Science Initiative (CSI) at the Department of Energy’s Brookhaven National Laboratory (BNL), in Long Island, NY. With 100 petabytes, BNL hosts the second largest scientific data archive in the US and the fourth largest in the world, it processes annually in access of 400 petabytes of scientific results.
CSI conducts leading edge computer science and applied mathematics research to address the associated analysis challenges, specific focus areas are machine learning, visual analytics and programming models.
Before she joined BNL Kerstin was associated division director at Pacific Northwest National Laboratory, Director of Computing at University College London Medical School and Data Management Group Lead at the Science and Technology Facilities Council in the UK.
Host: Prof. Steven Nowick (Dept. of Computer Science)
STEVEN M. NOWICK is a Professor of Computer Science and Electrical Engineering at Columbia University, and former chair and co-founder of the Computer Engineering Program. He received a Ph.D. in Computer Science from Stanford University in 1993, and a B.A. from Yale University. His main research area is on design methodologies and CAD tools for synthesis and optimization of asynchronous and mixed-timing (i.e. GALS) digital systems.