AWS Cloud for Research Computing: Machine Learning, Data Analytics, and High Performance Computing
Online Attendance Only
11:00 AM - 12:00 PM
This talk will provide an overview of the Amazon Web Services (AWS) global cloud infrastructure as well as advanced services such as high-performance computing (HPC), data analytics, and machine learning (ML). Fully managed artificial intelligence (AI) services to help researchers build, train, and deploy ML models in various domains including Computer Vision and Natural Language Processing (NLP) will also be outlined. Supervised and unsupervised based learning frameworks and their implications in the fields of Scientific Computing, Medical Imaging, Cancer Detection, Diabetic Retinopathy, and Voice-enabled solutions to improve management of chronic disease will be discussed. A few examples will be drawn from the Large Hadron Collider (LHC) at CERN, AWS Open Data Program, and NASA's Desert Research. The AWS Research Initiative with funding agencies such as the National Science Foundation (NSF) and the National Institutes of Health (NIH) as well as AWS Cloud Credit for Research Program will also be outlined.
Speaker: Sanjay Padhi (AWS Research Initiatives)
Dr. Sanjay Padhi, leads the AWS Research Initiatives including AWS's federal initiatives with the National Science Foundation. Dr. Padhi has more than 15 years of experience in large-scale distributed computing, Data Analytics and Machine Learning. He is the co-creator Workload Management System, currently used for all the data processing and simulations activities by CMS, one of the largest experiments in the world at CERN, consisting of more than 180 institutions across 40 countries. He also co-founded the ZEUS Computing Grid project at Deutsches Elektronen-Synchrotron (DESY), Germany before joining CERN. Sanjay obtained his Ph.D from McGill University in High Energy Physics and is also currently appointed by the Dean of Faculty as an Adjunct Associate Professor of Physics at Brown University.
The goal of STScI Engineering and Technology Colloquia is to provide speakers for our community of the highest caliber from leading-edge engineering and technology disciplines and promote collaboration with professionals across the Institute. The steering committee invites speakers not only from conventional engineering disciplines, but from across business, academia, and government. Obtaining speakers with perspectives and knowledge that can enrich the understanding of our staff and simultaneously enhance their connections with other professionals across the nation is fundamental to ensuring STScI remains at the forefront of its mission.
Please direct questions or comments to the contact above. The 2019-20 committee members are Martha Devaud, Nicholas Earl, Sherita Hanna, Ian Jordan, Lisa Kleinwort, Lauretta Nagel, Modhumita Sabata, and Eliza Wojtaszek.
AWS Cloud for Research Computing: Machine Learning, Data Analytics, and High Performance Computing Materials
August 11, 2020