AWS Education: Research Seminar Series
The AWS Research Seminar Series is a set of informational sessions focused on how research spurs scientific and technological evolutions. This series aims to connect worldwide researchers with the internal Amazon research communities to exchange ideas, share information, and discuss topics including artificial intelligence, blockchain for science, high performance computing, quantum computation, machine learning, and robotics.
Join us in collaboration with Amazon Research Days (ARD) at these virtual and in-person sessions around the world featuring some of the foremost research experts in their fields.
Each session is approximately 60 minutes (50 minutes of presentation and 10 minutes of Q&A). Interested in presenting? Contact us at aws-wwps-seminar@amazon.com.
Next webinar - Artificial Intelligence and Machine Learning in Pediatric Biomedical Research
Prof. Judith Dexheimer, Associate Professor at Cincinnati Children's Hospital Medical Center
Bio
Dr. Dexheimer is an Associate Professor of Pediatrics at Cincinnati Children’s Hospital Medical Center and the University of Cincinnati. She is a clinical informaticist working on the development and implementation of machine learning applications into clinical care. Her research focus areas include machine learning techniques, real-time patient identification system, disparate data merging, and applications of clinical data.
Date: July 31, 2019
Time: 8:00-9:00AM PST
Venue: Webinar
-
Upcoming Sessions
-
Presenters
-
Past Sessions
-
Amazon Research Days
-
Upcoming Sessions
-
Title: Artificial Intelligence and Machine Learning in Pediatric Biomedical Research
Presenter: Prof. Judith Dexheimer, Associate Professor at Cincinnati Children's Hospital Medical Center
Date: July 31, 2019
Time: 8:00-9:00AM PST
Presenter Abstract/Biography:
Dr. Dexheimer is an Associate Professor of Pediatrics at Cincinnati Children’s Hospital Medical Center and the University of Cincinnati. She is a clinical informaticist working on the development and implementation of machine learning applications into clinical care. Her research focus areas include machine learning techniques, real-time patient identification system, disparate data merging, and applications of clinical data. Dr. Dexheimer co-leads the Decision Support Analytics Workgroup (DSAW), which investigates the links between the effectiveness of clinical decision support (CDS), patient safety, and user efficiency. This research has demonstrated ties between decreasing alert burden on clinicians, increasing CDS alert salience, and improving patient outcomes.
She will discuss the role and impact of artificial intelligence and machine learning in research with the electronic health record, explore unique aspects of conducting work in pediatrics with biomedical informatics, and examine what is being done now with machine learning and what the future might hold.
-
Presenters
-
Prof. Judith Dexheimer, Associate Professor at Cincinnati Children's Hospital Medical Center
Dr. Dexheimer is an Associate Professor of Pediatrics at Cincinnati Children’s Hospital Medical Center and the University of Cincinnati. She is a clinical informaticist working on the development and implementation of machine learning applications into clinical care. Her research focus areas include machine learning techniques, real-time patient identification system, disparate data merging, and applications of clinical data. Dr. Dexheimer co-leads the Decision Support Analytics Workgroup (DSAW), which investigates the links between the effectiveness of clinical decision support (CDS), patient safety, and user efficiency. This research has demonstrated ties between decreasing alert burden on clinicians, increasing CDS alert salience, and improving patient outcomes.
Ms. Christine Kirkpatrick, Executive Director at National Data Service
Christine Kirkpatrick oversees the San Diego Supercomputer Center’s (SDSC) Research Data Services division, which manages infrastructure, networking, and services for research projects of regional and national scope. Kirkpatrick is recognized expert in the implementation of research computing services, with an emphasis on data science workloads, as well as operational cyberinfrastructure (CI) at scale. Kirkpatrick founded and hosts the US GO FAIR Office at SDSC, is the Executive Director of the US National Data Service (NDS), and Co-PI and Deputy Director of the West Big Data Innovation Hub (WBDIH). She co-chairs the All (Big Data) Hub Infrastructure Working Group and is co-PI of the Open Storage Network. Kirkpatrick received her master’s degree from the Jacobs School of Engineering at University of California San Diego. She serves on the Technical Advisory Board (TAB) for the Research Data Alliance (RDA) and the external Advisory Boards for the European Open Science Cloud (EOSC) Hub and EOSC Nordic.
Prof. Frank Wuerthwein, Executive Director Open Science Grid (OSG), and Professor of Physics at UC San Diego
Prof. Wuerthwein, an experimental particle physicist analyzing data from the Large Hadron Collider, is responsible for providing an integrated data and compute platform that advances open science through distributed high-throughput computing as executive director of OSG. The platform has been used in the detection of gravitational waves (Nobel Prize 2017) and the discovery of the Higgs Boson (Nobel Prize 2013), as well as many other scientific achievements.
-
Past Sessions
-
Title: Leveraging Distributed Cyberinfrastructure to Support Data-Driven Collaborative Research
Presenter: Ms. Christine Kirkpatrick, Executive Director at National Data Service
Date: June 26, 2019
- Watch On Demand
- Download the Presentation
Presenter Abstract/Biography:
Christine Kirkpatrick oversees the San Diego Supercomputer Center’s (SDSC) Research Data Services division, which manages infrastructure, networking, and services for research projects of regional and national scope. Kirkpatrick is a recognized expert in the implementation of research computing services, with an emphasis on data science workloads, as well as operational cyberinfrastructure (CI) at scale. Kirkpatrick founded and hosts the US GO FAIR Office at SDSC, is the Executive Director of the US National Data Service (NDS), and Co-PI and Deputy Director of the West Big Data Innovation Hub (WBDIH). She co-chairs the All (Big Data) Hub Infrastructure Working Group and is co-PI of the Open Storage Network. Kirkpatrick received her master’s degree from the Jacobs School of Engineering at University of California San Diego. She serves on the Technical Advisory Board (TAB) for the Research Data Alliance (RDA), and the external Advisory Boards for the European Open Science Cloud (EOSC) Hub and EOSC Nordic.
Investments in computation and highspeed networking have increased and improved the national cyberinfrastructure (CI) capacity that researchers rely on. With research becoming increasingly data-driven, collaborative, and multi-institutional, there is a need for distributed storage with data sharing, data discovery, computation at the edge, and cloud caching. This session will introduce the national initiatives working to enhance data-driven and collaborative research. Hear highlights from the Open Storage Network, the US National Data Service and its collaborations with the Cybersecurity education project, CHEESE, the IMLS-funded PresQT, and NIH-funded Metabolomics Workbench. Learn how to get involved with the Big Data Hubs via the All Hub Infrastructure Working Group.
Title: Science at the Petascale: Advancing Global Scientific Projects Through Distributed Computing
Presenter: Prof. Frank Wuerthwein, Executive Director, Open Science Grid (OSG), and Professor of Physics, UC San Diego
Date: Wednesday, May 15, 2019
Presenter Abstract/Biography:
Attend this session to receive an overview of three global science drivers – the Large Hadron Collider, gravitational wave detection, and the IceCube neutrino observatory, elucidating common patterns in the architecture of their global computing infrastructure. Learn about the role AWS can play in these large international projects using advancements in computing technologies as data volumes explode over the next decade.
Hear from Prof. Wuerthwein, an experimental particle physicist analyzing data from the Large Hadron Collider, who is the executive director of OSG responsible for providing an integrated data and compute platform that advances open science through distributed high-throughput computing. The platform has been used in the detection of gravitational waves (Nobel Prize 2017), the discovery of the Higgs Boson (Nobel Prize 2013), and many other scientific achievements.
-
Amazon Research Days
-
Amazon Research Days (ARD) is a global engagement program between the scientific community at Amazon and external academic researchers. In 2019, we will host 9 Amazon Research Days locations. From East to West, Bangalore (India), Haifa (Israel), Berlin (Germany), Edinburgh (UK), Boston (USA/MA), San Francisco (USA,CA) Los Angeles (USA,CA), Seattle (USA, WA) and will include a virtual session. Our website will be updated with 2019 locations in July, 2019.
