Mastering Data

Mastering Data

 
AI Gov: Mastering Data
AI Gov: Mastering Data
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With the advent of newfound cloud computing architecture and information processing capacities, federal agencies have begun to explore the usage of AI for advanced data analytics and insights. Hear from technologists across the federal government on how their organizations are using artificial intelligence and complex analytics to further their mission and lead the next stage of IT modernization.

Date
December 8, 2021
Time
11:30 AM - 1:00 PM ET
Where
Virtual event
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Mastering Data

Video Replay

Federal agencies are increasingly looking towards artificial intelligence and complex data analytics to power the next phase of their modernization programs. During this fireside chat, hear how evolving work in data management is being used to further build out on critical services and refine the focus of agency missions.

  • Eileen Vidrine, CDO, U.S. Air Force
  • Moderator: Kate Macri, Staff Writer/Researcher, GovernmentCIO Media & Research

Newfound AI capacities have allowed federal agencies to leverage proprietary data towards predictive modeling, allowing them to more effectively deliver services and act upon their core mission. Hear from AI specialists on how their agencies are leveraging data to create models that further essential research and analysis.

  • Qi Duan, Program Director Division of Health Informatics Technologies (DHIT), NIBIB
  • Rafael Fricks, Lead AI Tech Sprints Coordinator, VA
  • Dr. Amy Justice, CNH Long Professor of Medicine and of Public Health, Yale…

With today’s cybersecurity landscape becoming increasingly complex, artificial intelligence is being employed to ensure sensitive data is protected across government. Hear how federal agencies are leveraging AI to counter and protect against evolving cyber threats.

  • Oki Mek, Chief AI Officer, HHS
  • Moderator: Joe Cormier, Chief Operating Officer, GovernmentCIO

Related Coverage

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Federal agencies are focusing on data interoperability and knowledge-sharing partnerships to support increasingly advanced research initiatives.
Oki Mek shares how the agency is gearing up data efforts for a collaborative approach to AI.

Featuring

 

Qi Duan, Ph.D., is a Program Director for the NIBIB Division of Health Informatics Technologies. Dr. Duan received his Ph.D. in Biomedical Engineering from Columbia University in 2008, majoring in medical imaging. Before joining NIBIB in 2018, he worked at the New York University School of Medicine, NIH, and FDA, in the field of medical imaging and image analysis, as well as medical device regulation.

Dr. Duan’s research and development experience spans a wide variety of medical imaging modalities, such as ultrasound, MRI, X-ray, and CT, as well as areas of bioengineering. His work has included many aspects of the total product life cycle of medical imaging and image analysis. He is currently a senior member of IEEE Engineering in Medicine and Biology Society.

Program Director Division of Health Informatics Technologies (DHIT), NIBIB

Amy C. Justice, M.D., Ph.D. is a Clinical Epidemiologist who has developed multiple large national cohorts based on data from the Veterans Affairs Healthcare System Electronic Medical Record enhanced with National Death Index and CMS data, patient completed surveys, DNA and tissue repositories, and stored pathology samples. She has two decades of experience in the processes required to clean, validate, and standardize raw EMR data and in its analysis using standard statistical methods, machine learning techniques, and cross cohort validations. The oldest and best known of her projects is the Veterans Aging Cohort Study (VACS). VACS is an ongoing, longitudinal study of >170,000 United States veterans with and without HIV infection continuously funded by National Institutes of Health (NIH) since 1996. She has developed and validated widely used indices including a prognostic index, the VACS Index, and a patient reported symptom index, the HIV Symptom Index. She is the principal investigator of the National Cancer Institute provocative questions grant HIV and Aging Mechanisms for Hepatocellular Cancer, is co-principal investigator of the VA Genetic Vulnerability for sustained Multisubstance Use in MVP and the VA-DOE Exemplar Cancer Project.  She is Scientific Liaison for VA-DOE Research for the Department of Veterans Affairs, has published over 400 peer reviewed manuscripts, has presented work at the United Nations, The International AIDS Society, The Royal Medical College in London, the White House, and Congress. She is a member of the National Cancer Institute Ad hoc Subcommittee on HIV and AIDS Malignancy and the HIV and Aging Working Group, NIH Office of AIDS Research. She has recently joined the International Advisory Boards of Lancet HIV and Journal of the International AIDS Society.

Dr. Justice is the CNH Long Professor of Medicine and Public Health at Yale University. She trained at Harvard College (BA), Yale Medical School (MD), University of Pennsylvania (MSCE), and the Wharton School (PhD). She completed a residency in medicine and the Robert Wood Johnson Program Clinical Scholars fellowship at the University of Pennsylvania.  She has worked within the VA Healthcare System for three decades, serving as a primary care provider for two decades and Section Chief of General Medicine at the VA Connecticut Healthcare System West Haven for 13 years.

CNH Long Professor of Medicine and of Public Health, Yale University; Staff Physician, VA Connecticut Healthcare System
Chief Artificial Intelligence Officer, HHS
Chief Data Officer, U.S. Air Force

David Womble is currently the Director of Artificial Intelligence Programs at Oak Ridge National Laboratory. Before joining ORNL in 2017, David spent thirty years at Sandia National Laboratory in both management and technical roles. As a manager, David served as the Program Deputy for Advanced Simulation and Computing (ASC), responsible for developing and deploying modeling and simulation capabilities, including hardware and software, in support of Sandia nuclear weapons program. David also served as the senior manager for the Computational Simulation Group and for the Computer Science and Mathematics Group. David earned his Ph.D. in Applied Mathematics and M.S. in Electrical Engineering at Georgia Tech in 1986. He also earned a B.S. in Mathematics and Computer Science from Rose-Hulman Institute of Technology in 1982. His technical interests include high performance computing with contributions in numerical mathematics, linear solvers, scalable algorithms and I/O. He established the Computer Science Research Institute currently located in Sandia Science and Technology Park and led Sandia’s seismic imaging project in DOE’s Advanced Computational Technologies Initiative. David has also worked closely with EERE’s Atmosphere to Electrons Program for the past two years. His recognitions include two R&D100 awards and the Gordon Bell Award in high performance computing.

Director, Artificial Intelligence Programs, Oak Ridge National Laboratory, DOE

Rafael Fricks, Ph.D., is a computer engineer at the Department of Veterans Affairs National Artificial Intelligence Institute (NAII). Dr. Fricks leads the AI Tech Sprints, which are 3-month challenges that invite outside teams to prototype AI tools for veterans’ care. Additionally, he researches emerging deep learning technologies in imaging with applications in radiology and digital pathology, and is a contributor to the VA Radiology workgroup to develop a national AI in Radiology strategy.

Prior to joining the NAII in 2020, Dr. Fricks joined the VA as a postdoctoral fellow in 2018 as part of the Big Data Science Training Enhancement Program (BD-STEP), pursuing deep learning research in radiology in collaboration with Duke University and the Carl E. Ravin Laboratories at Duke. He completed his MS and PhD degrees in biomedical engineering at Duke University in 2017 and 2018, respectively, with dissertation work in discrete event simulation of healthcare systems. He received his BS degree in biomedical engineering from the University of Texas at Austin in 2013, with a specialization in imaging and instrumentation.

Lead AI Tech Sprints Coordinator, VA

Agenda

 
-

Welcome Remarks

  • Amy Kluber, Editorial Director, GovernmentCIO Media & Research
-

Fireside Chat: Data Analytics and the Future of Modernization 

Federal agencies are increasingly looking towards artificial intelligence and complex data analytics to power the next phase of their modernization programs. During this fireside chat, hear how evolving work in data management is being used to further build out on critical services and refine the focus of agency missions.

  • Eileen Vidrine, CDO, U.S. Air Force
  • Moderator: Kate Macri, Staff Writer/Researcher, GovernmentCIO Media & Research
-

AI and Predictive Analytics 

Newfound AI capacities have allowed federal agencies to leverage proprietary data towards predictive modeling, allowing them to more effectively deliver services and act upon their core mission. Hear from AI specialists on how their agencies are leveraging data to create models that further essential research and analysis.

  • Qi Duan, Program Director Division of Health Informatics Technologies (DHIT), NIBIB
  • Rafael Fricks, Lead AI Tech Sprints Coordinator, VA
  • Dr. Amy Justice, CNH Long Professor of Medicine and of Public Health, Yale University; Staff Physician, VA Connecticut Healthcare System
  • David Womble, AI Program Director, Oak Ridge National Lab, DOE
  • Moderator: Adam Patterson, Staff Writer/Researcher, GovernmentCIO Media & Research
-

AI and Cybersecurity 

With today’s cybersecurity landscape becoming increasingly complex, artificial intelligence is being employed to ensure sensitive data is protected across government. Hear how federal agencies are leveraging AI to counter and protect against evolving cyber threats.

  • Oki Mek, Chief AI Officer, HHS
  • Moderator: Joe Cormier, Chief Operating Officer, GovernmentCIO
-

Closing Remarks

  • Amy Kluber, Editorial Director, GovernmentCIO Media & Research

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