Susan K. Gregurick, Ph.D., will present "NIH Strategic Plan for Data Science, 2025 – 2030" from 12:00 p.m.–1:00 p.m. EST.

About the Seminar

Data science is advancing our understanding of biomedical and behavioral phenomena, contributing to breakthroughs that improve the health and wellbeing of all. The 2025-2030 National Institutes of Health (NIH) Strategic Plan for Data Science sets a bold vision for the future of data science at the NIH. The Office of Data Science Strategy leads implementation of this plan that will coordinate NIH efforts to leverage data science to accelerate our understanding of human health by leveraging the deep expertise of NIH Institutes, Centers, and Offices as well as NIH’s partners with other federal agencies, academia, industry, and philanthropy.

This Strategic Plan prepares NIH to navigate the evolving technology landscape, address the rapid rise in the quantity and diversity of data, and bridge new data to existing knowledge. NIH is setting five goals to achieve this vision:

Goal 1: Improve Capabilities to Sustain the NIH Policy for Data Management and Sharing

Goal 2: Develop Programs to Enhance Human-Derived Data for Research

Goal 3: Provide New Opportunities in Software, Computational Methods, and Artificial Intelligence

Goal 4: Support for a Federated Biomedical Research Data Infrastructure

Goal 5: Strengthen a Broad Community in Data Science

About the Speaker

Susan K. Gregurick, Ph.D., was appointed Associate Director for Data Science and Director of the Office of Data Science Strategy (ODSS) at the National Institutes of Health (NIH) on September 16, 2019. Under her leadership, ODSS leads the implementation of the NIH Strategic Plan for Data Science through scientific, technical collaboration with the institutes, centers, and offices that comprise NIH. Dr. Gregurick received the 2020 Leadership in Biological Sciences Award from the Washington Academy of Sciences, which recognizes work of merit and distinction of scientists and leaders in the greater Washington area.

Prior to joining ODSS, Dr. Gregurick was the Division Director for Biophysics, Biomedical Technology, and Computational Biosciences at the National Institute of General Medical Sciences (NIGMS), where she led the institutes effort to reimagine the NIGMS technology programs through National and Regional Resources to support state-of-the-art facilities, equipment, technologies, research tools, software, and service.

Prior to government service, Dr. Gregurick was a professor of computational chemistry at the University of Maryland, Baltimore County. She received her B.S. in chemistry and mathematics from the University of Michigan and her Ph.D. in physical chemistry from the University of Maryland.

About the Seminar Series

The seminar is open to the public and registration is required each month. Individuals who need interpreting services and/or other reasonable accommodations to participate in this event should contact Allison Hurst at 301-670-4990. Requests should be made at least five days in advance of the event.

The National Institutes of Health (NIH) Office of Data Science Strategy hosts this seminar series to highlight examples of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center will also share its data science activities each month.

Meredith C.B. Adams, MD, MS will present "Building the Future of Clinical Data: From Standardization to AI-Powered Federation" from 12:00 p.m.–1:00 p.m. EST.

About the Seminar

This presentation will examine how clinical researchers developed systematic data standardization, AI-powered automation, and federated architectures are transforming clinical research infrastructure. Drawing from leadership across multiple NIH HEAL Initiative networks, Dr. Adams will present a roadmap from evidence-based research tools (including the NIH HEAL MME Calculator) to real-world data standardization frameworks covering nearly half the US population through claims data integration, with resources to make them more accessible. The presentation will demonstrate how large language models are removing barriers for complex data operations, making sophisticated analyses accessible to non-technical researchers. This talk illustrates how architectural thinking, rather than incremental improvements, can fundamentally alter the economics and scalability of clinical data integration, offering a vision for global research collaboration that maintains both security and accessibility through standardized, automated clinical researcher friendly tools. The session will be of particular interest to data scientists, clinical researchers, and policy leaders working on data infrastructure challenges in biomedical research.

About the Speaker

Meredith C.B. Adams, MD, MS, FASA, FAMIA is Associate Professor of Anesthesiology, Artificial Intelligence, Translational Neuroscience, and Public Health Sciences at Wake Forest University School of Medicine and Chair of the NIH HEAL Data Ecosystem Collective Board. As Principal Investigator of multiple NIH HEAL Initiative programs (including MIRHIQL Resource Center, Wake Forest DISC, and IMPOWR IDEA-CC), she leads transformative data infrastructure development for chronic pain and opioid use disorder research. Dr. Adams serves as Secretary/Treasurer of the International Anesthesia Research Society and has received numerous honors including the 2024 NIH HEAL Golden Neuron Pain Rising Star Researcher Award and 2023 NIH HEAL Director's Trailblazer Award. Her innovative tools, including the NIH HEAL MME Calculator, CDE2OMOP mapping system, and Gen3-based federated data commons, have become essential infrastructure for clinical research networks. With expertise spanning clinical informatics, machine learning, and health policy, Dr. Adams bridges clinical domain knowledge with advanced computational methods to create research frameworks that enable access to sophisticated data analytics while maintaining rigorous scientific standards.

About the Seminar Series

The seminar is open to the public and registration is required each month. Individuals who need interpreting services and/or other reasonable accommodations to participate in this event should contact Allison Hurst at 301-670-4990. Requests should be made at least five days in advance of the event.

The National Institutes of Health (NIH) Office of Data Science Strategy hosts this seminar series to highlight examples of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center will also share its data science activities each month.

Andrey Fedorov, Ph.D., will present "Imaging Data Commons and cancer image sharing in today's AI era" from 12:00 p.m.–1:00 p.m. EST.

About the Seminar

Rapid advances in Artificial Intelligence open exciting opportunities to do more with the existing and future imaging datasets. At the same time, they are intricately dependent on the availability and quality of the training data, while heavily relying on public data. In this talk I will discuss National Cancer Institute Imaging Data Commons (IDC), and the role it can play in both enabling breakthroughs in cancer imaging AI and leveraging the latest AI advances to empower its users. IDC is a cloud-based environment offering unrestricted access to a growing amount of harmonized cancer imaging data, primarily from various NCI data sharing initiatives. 

Beyond image archival, IDC is enriching its datasets through secondary analyses, complementing images with AI-derived annotations and quantitative features. I will highlight the specific capabilities of IDC and the datasets it is hosting that can help make cancer imaging AI research more accessible, transparent and explainable. I will also present examples of utilizing IDC for investigating the capabilities of existing imaging AI tools and applying them to IDC data. 

About the Speaker 

Andrey Fedorov, Ph.D., is a researcher at Brigham and Women's Hospital (BWH) and Associate Professor in Radiology at Harvard Medical School. Andrey is one of the leads of the team tasked with building National Cancer Institute Imaging Data Commons (IDC). A computer scientist by training, Andrey spent the past 15 years at the BWH Surgical Planning Lab working on translation and evaluation of image computing tools in clinical research applications. He is dedicated to developing infrastructure and best practices to help imaging researchers improve transparency of their studies, simplify data sharing and make their analyses more easily accessible and reproducible by others. 

About the Seminar Series 

The seminar is open to the public and registration is required each month. Individuals who need interpreting services and/or other reasonable accommodations to participate in this event should contact Allison Hurst at 301-670-4990. Requests should be made at least five days in advance of the event. The National Institutes of Health (NIH) Office of Data Science Strategy hosts this seminar series to highlight examples of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center will also share its data science activities each month.