The NCSA Center for Artificial Intelligence Innovation calls all data scientists to participate in the NVIDIA Open Software Tools for Science Workshop. Taught by NVIDIA Data Scientists, this event will provide a comprehensive overview of end-to-end data science and analytics pipelines for data-driven discovery. This workshop is open to all. Attend the Zoom workshop.
Please note: participants will be required to sign in to their Zoom account before entering the meeting
Thursday, October 29, 2020
HPC Software Product Manager
NVIDIA Corporation, Santa Clara, CA
Tim is Product Manager for HPC Software at NVIDIA, responsible for the NVIDIA HPC SDK, HPC Compilers and Math Libraries in addition to programming model strategy. Prior to joining NVIDIA Tim worked as a performance library architect and HPC application engineer, and owned enabling efforts for CFD applications at Intel. Dr. Costa obtained his Ph.D. in Mathematics from Oregon State University on the development and analysis of numerical methods for fluid flow in stochastic or evolving porous media.
NVIDIA Corporation, Bowling Green, KY
Zahra Ronaghi is a senior data scientist and engineer at NVIDIA, working on GPU-accelerated machine learning. Prior to joining NVIDIA, Zahra was a postdoctoral fellow at Lawrence Berkeley National Laboratory (NERSC), where she worked on performance optimization of a tomographic reconstruction code and deep neural networks for neutrino telescopes. She graduated from Clemson University with a Ph.D. in Biomedical Engineering and received her M.S. and B.S. degrees in Electrical Engineering.
NVIDIA Corporation, Seattle, WA
Tom is currently responsible for strategy and implementation of programs to enable and promote developers to take full advantage of NVIDIA technology. Tom brings over 30 years of experience in HPC, and has applications expertise in industries ranging from Physics, Aerospace, Healthcare, Life Sciences, Energy and Financial Services. Prior to NVIDIA Tom held senior management positions for early stage cloud startup companies in the healthcare market segment. He spent 15 years with the Intel Corporation, where he managed a global team responsible for leading innovation programs at CERN, NCSA, British Petroleum and Morgan Stanley as Director of Strategy and Architecture in the Solutions Group. During his time at Intel Tom was part of the HPC Business Unit responsible for ASCI RED and other large-scale computing systems. Tom was a past Chairman of the Open Grid Forum and a member of the Center for Excellence in Supply Chain Management at MIT.
Sr. Data Scientist
NVIDIA Corporation, Boulder, CO, USA
David Hall joined NVIDIA in January 2018 after working as an Assistant Professor of Research in Computer Science at CU Boulder. Dr. Hall is an expert in AI, deep learning and its applications to science. Dr. Hall has a broad technical background with expertise in theoretical physics, computational fluid dynamics, numerical methods, and climate modeling. Dr. Hall spent much of the previous decade developing non-hydrostatic dynamical cores for high resolution climate models in HPC environments. As a solution architect at NVIDIA, Dr. Hall’s primary role is to help scientist and engineers understand and translate the latest breakthroughs in artificial intelligence into practical solutions in the areas of weather, climate, and space. Dr. Hall earned his PhD in Physics from the University of Santa Barbara, CA and a BA in physics from CU Boulder.