NCI's Office of Data Sharing Annual Symposium (Speaker Bios)

Dr.Addepalli is a Health Scientist/BioMedical Informatics Program Manager at National Cancer Institute (NCI) in the Center for Biomedical Informatics & Information Technology (CBIIT) and has been working with NCI since 2005. She is the Federal Lead on the Cancer Data Service, a component of CRDC eco-system with focus on enabling accelerated data management and secure sharing of the valuable cancer research data. She also leads the cancer Nanotechnology project which is designed to facilitate information sharing across the international biomedical nanotechnology research community to expedite and validate the use of nanotechnology in biomedicine. She leads and runs the NCI’s Containers and Workflows Interest Group (CWIG) webinar series. She represents CRDC as an SME on various other CBIIT projects. She has a doctoral degree in Computational Biology and Bioinformatics.

Erin Beck is a Health Scientist Administrator working on the Cancer Research Data Commons (CRDC) at the National Cancer Institute (NCI) in the Center for Biomedical Informatics & Information Technology (CBIIT). She is the Federal Lead for their 3 Cloud Resources as well as their infrastructure component, the Data Commons Framework. Her focus is on data democratization within the Cancer Research community and finding ways to lower the barriers to entry to the CRDC’s cloud resources. She has her M.S. in Bioinformatics from The Johns Hopkins University. Before coming to the NCI she worked as an bioinformatician and data scientist at the National Center for Advancing Technologies and the J. Craig Venter Institute.

Patricia (“Trish”) Bright, earned a Master’s Degree and Ph.D. in Epidemiology from the University of North Carolina (Chapel Hill). She is also a nurse and worked at Johns Hopkins Hospital for the Department of GYN Oncology. She was a Faculty Member at the Johns Hopkins School of Medicine from 2003 to 2010, where she helped run clinical trials assessing therapeutic approaches to prevent maternal-to-child HIV transmission in developing countries. She began working at the FDA in 2010 as a Commissioner’s Fellow. In 2012, she joined the Division of Epidemiology in the Center for Drug Evaluation and Research (CDER)’s Office of Surveillance and Epidemiology (OSE). She worked in the Division of Epidemiology as both a primary reviewer and as a Team Lead. She joined FDA Center for Drug Evaluation and Research (CDER)’s Sentinel Team in April 2021 and is the Associate Director and Lead for FDA’s Sentinel System working on pharmacoepidemiology studies.

I earned a Ph.D. in Genetics from Harvard University studying the genetics of complex traits in humans. I did a postdoc in the Department of Genome Sciences at the University of Washington, Seattle on human mutational processes including germline mutation rate and understanding genetic variation in complex, duplicated regions of the human genome. After my post-doc, my interest in how ‘omics would influence precision medicine and translational research brought me back to Cambridge, MA to work in the Oncology Research department at Novartis Institutes for Biomedical Research. Over nine years at Novartis, she helped establish an internal platform the capabilities and collaboration models for ‘omics data processing and analysis from patients enrolled in Novartis Oncology clinical trials. My team within the NIBR Oncology Data Science group was responsible for clinical biomarker data science strategy and execution across the clinical trial portfolio, from first-in-human to registrational trials. I joined the Broad Institute of MIT and Harvard in late 2022 to lead the Cancer Data Science team. My current research is focused on developing and applying data-driven approaches to high-dimensional datasets to understand cancer vulnerabilities and making these data accessible/interpretable to researchers around the world. These activities include developing methods for interpretation and integration of genetic (e.g. CRISPR), chemical perturbational data, and multi-modal ‘omics data as well as machine learning modeling of the association between cell line ‘omics features and genetic knockout/compound sensitivity. My team develops and maintains the DepMap portal, which allows researchers (both computational and not computational) to access and explore these large datasets.

As a CBIIT Program Officer within the Data Ecosystems Branch, I ensure that data across the NCI Cancer Research Data Commons (CRDC) adheres to the FAIR guiding principles for scientific data management. Prior to joining NCI, I spent over 15 years developing and managing data repositories for NIH-funded projects such as the Human Microbiome Project (HMP, iHMP) and the Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative.
Currently I lead the CRDC Data Standards Services team developing standards to enable interoperability across CRDC data repositories, the CRDC Cancer Data Aggregator team harmonizing data from across the CRDC data commons into common language terms, and the working group guiding development of the new CRDC Population Sciences Data Commons. In addition, I serve as a Driver Project Champion to the Global Alliance for Genomics and Health (GA4GH) and co-chair a Trans-NIH GA4GH Working Group to increase knowledge of GA4GH standards across NIH institutions.

Dr. Tanja Davidsen is the Chief of the NCI Data Ecosystems Branch (DEB) responsible for strategic roadmap development and program delivery within the Informatics and Data Science Program. As a biomedical informatics specialist, her research interests focus on cancer, infectious diseases, biological databases, cloud applications, and large-scale genomic analysis. She is working to accelerate NCI-funded scientific research, through delivery of scalable data science infrastructure and large-scale data sharing, management, and analysis tools that improve interoperability and discovery. Tanja holds her Ph.D. in Microbiology and Immunology from the Virginia Commonwealth University (VCU) School of Medicine and her B.S., Biology and Computer Science from The College of William & Mary.

Tanja leads key programs such as the Cancer Research Data Commons (CRDC), NCI-Department of Energy (DOE) Collaboration, Cancer Target Discovery and Development (CTD²) Network, and Therapeutically Applicable Research to Generate Effective Treatments (TARGET). Her team is partnering with Advanced Research Projects Agency for Health (ARPA-H) to build the Biomedical Data Fabric Toolbox (BDF), which focuses on advances in data science innovation for the biomedical research community. She is focused on increasing collaboration and driving innovation through leading the CBIIT Artificial Intelligence (AI) working group and working to lower data access barriers with delivery of NCI's Genomic Data Enclave.

As a senior biomedical informatics program officer of the NCI Data Ecosystems Branch, I lead a team of research professionals and support staff within the Cancer Research Data Commons (CRDC). We collaborate in developing and implementing strategies focused on the creation and ongoing support of large-scale data sharing, management, and analysis tools to accelerate NCI-funded scientific research. My current research interests include advancing the capabilities of artificial intelligence for health research and building data capacity and infrastructure by securely and appropriately linking health-related data across federated environments.

Ina Felau is a Program Officer in the Informatics and Data Science Program (IDS), at the Center for Biomedical Informatics & Information Technology (CBIIT), NCI. In her current role, Ina supports the NCI Cancer Research Data Commons (CRDC) contributing to governance and sustainability activities; developing and implementing strategies to facilitate data sharing through the CRDC Submission Portal; as well as keeping the community informed and engaged on CRDC developments. Prior to joining CBIIT, Ina spent the last decade with The Cancer Genome Atlas (TCGA) Program Office as the Genome Data Analysis Network (GDAN) Program Manager, leading programs/studies through the Genome Characterization Pipeline, as well as managing disease-specific and pan-cancer Analysis Working Groups (AWGs).

Dr. Jeremy Goecks is Assistant Center Director for Research Informatics and an Associate Faculty Member in the Department of Machine Learning at the Moffitt Cancer Center. In his role as Assistant Center Director for Research Informatics, he leads work to (1) accelerate cancer research at Moffitt through the use of datasets, software tools, and computing platforms and (2) advance research informatics prototypes to use in Moffitt clinical, organizational, and commercialization activities. In his faculty role, Dr. Goecks leads a computational research laboratory at the intersection of biomedical data science, high-performance computing, and precision oncology. He has held leadership positions in several national and international biomedical consortia that span from generation of single-cell tumor atlases to the development of cloud-scale computational infrastructure for biomedical data. Recent publications from his research program include machine learning applications for single-cell spatial omics, multimodal longitudinal profiling as tumor ecosystems become resistant to therapy, and software platforms for accessible and scalable biomedical data analyses. Dr. Goecks is a principal investigator for the Galaxy platform (http://galaxyproject.org), a computational workbench used daily by thousands of scientists across the world.

Dr. Jaime M. Guidry Auvil, the Director of the Office of Data Sharing (ODS) within the National Cancer Institute (NCI), oversees the NCI strategy and approach to development, interpretation and implementation of data sharing and public access policies in cancer research. Dr. Guidry Auvil has worked with NIH leaders to develop policy language and hone guidance to maximize the benefits of federally-supported scientific research products for the wider community. Dr. Guidry Auvil has led critical, high profile data sharing initiatives for NCI and NIH, including large-scale pediatric cancer research through Therapeutically Applicable Research to Generate Effective Treatments (TARGET) initiative, Gabriella Miller Kids First Pediatric Research Program, and current flagship program for NCI, the Childhood Cancer Data Initiative (CCDI).

Dr. Guidry Auvil is well-published and provides expertise in optimizing data for cancer research as part of several advisory committees within and across United States federal agencies and international organizations. Dr. Guidry Auvil has held scientific research and regulatory positions in industry, academia and government focusing on healthcare biobanking for infectious disease and cancer, as well as research in mental health, addiction and post-traumatic stress. Dr. Guidry Auvil received her doctorate in Tumor Biology from Georgetown University, where she further holds a patent for a small molecule inhibitor targeting adhesion proteins in bone cancer metastases.

Amanda Haddock is a parent of a child who died from brain cancer, a Cancer Research Advocate, and a leader working on improving data accessibility and patient navigation for rare cancers and diseases, particularly pediatric cancers. Amanda is the co-founder and President of Dragon Master Initiative, founded in 2013. Dragon Master Initiative is a non-profit focused on improving cancer data access through collaboration and works to provide aid to patients and families by creating connections and providing financial assistance, information, and resources.

In addition to her work at Dragon Master Initiative, Amanda offers her time and expertise as a member of the NCI Council of Research Advocates (NCRA), as a community liaison and advisory committee member for the Childrens Brain Tumor Network (CBTN), and as a working group member for the Childhood Cancer Data Initiative (CCDI), among many other efforts she leads or contributes to. In all ways, Amanda has dedicated her time to finding new and innovative ways to push cancer research forward, and is a driving force in the both the research and advocate spaces.

Dr. Hu is the Chief Scientific Officer of Chan Soon-Shiong Institute of Molecular Medicine at Windber overseeing all scientific activities including bioinformatics, informatics infrastructure, biobanking, and molecular research. He obtained his PhD in Biophysics from SUNY Buffalo and completed a post-doctoral training at the Johns Hopkins University School of Medicine. His current research focuses on breast cancer and pan-cancers through integrated analysis of clinicopathologic and proteogenomic data produced internally or with collaborators, and accessed from the public databases. Dr. Hu has published over 90 peer-reviewed papers including ones in Cell and Nature. He also has published five book chapters and co-edited two books. He has presented at many national and international scientific and business conferences, delivering keynote speeches and serving as bioinformatics program or session chair in several of them. Dr. Hu serves on the Council of the John P. Murtha Cancer Center, and the Scientific Committee of the Center for Prostate Disease Research of the Uniformed Services University. He is a project/working group/task force leader of several major cancer research consortiums including The Cancer Genome Atlas (TCGA) Research Network, the TCGA PanCanAtlas Network, and the Applied Proteogenomics OrganizationaL Learning and Outcomes (APOLLO). He was one of the TCGA recipients of the 2020 Team Science Award from the American Association for Cancer Research, and was the winner of the 2021 James J. Leonard Award for Excellence in Clinical/Translational Research.

Dr. Kibbe is the inaugural NCI deputy director for data science and strategy, working across NCI, NIH, and with other agencies, academia, and industry to define the data science strategy for cancer research. Previously, he was the Vice Chair and Professor of Biostatistics and Bioinformatics in the School of Medicine at Duke University. His research interests include data representation for clinical trials, especially improving the computability and interpretability of biomarker and eligibility criteria and data interoperability between medical records and decision support algorithms. He has been a proponent for open science and open data in biomedical research and helped define the data sharing policy for the NCI Cancer Moonshot program. Jointly with Sorena Nadaf, they founded the Cancer Informatics for Cancer Centers (Ci4CC.org) society. He also co-leads the NCI Childhood Cancer Data Initiative.

Dr. Erika Kim is a Senior Biomedical Informatics Program Officer in the NCI Data Ecosystems Branch. She leads a team of research professionals and support staff within the Cancer Research Data Commons (CRDC). Her team collaborates in developing and implementing strategies focused on creating and ongoing support of large-scale data sharing, management, and analysis tools to accelerate NCI-funded scientific research. Dr. Kim's current research interests include the development of interoperable, multi-modal biological databases leveraging innovative software approaches and building accessible cloud applications to facilitate collaboration among researchers at all stages of their careers to perform large-scale, multi-modal analysis.

Justin Kirby is a Technical Project Manager at the Frederick National Laboratory for Cancer Research (FNLCR). He also serves as the Technical Director for FNLCR's Cancer Imaging Informatics Lab. His work is focused on methods to enable data sharing while preserving patient privacy to improve reproducibility and transparency in cancer imaging research.

Most notably, his team founded The Cancer Imaging Archive (TCIA) in 2010, which the research community has leveraged to publish over 200 datasets related to manuscripts, grants, challenge competitions, and major NCI research initiatives including the National Clinical Trials Network, Quantitative Imaging Network, The Cancer Genome Atlas and the Clinical Proteomics Tumor Analysis Consortium. These datasets have been discussed in over 2,900 peer reviewed publications. Learn more at https://www.cancerimagingarchive.net/.

Dr. Juli Klemm is a Program Director in the Center for Strategic Scientific Initiatives at NCI and directs the NCI Informatics Technology for Cancer Research Program (ITCR), supporting open source, investigator-initiated informatics technology development. In addition, Dr. Klemm co-chairs the trans-NCI Artificial Intelligence Working Group and the trans-NCI Advisory Committee to CSSI (TACTIC). Prior to joining CSSI, Dr. Klemm was a Branch Chief in the NCI Center for Biomedical Informatics and Information Technology (CBIIT) where she was involved in several NCI informatics programs. Before coming to NCI, she worked in biotechnology companies managing software and data coordination programs. Dr. Klemm received a Ph.D. in Biology from the Massachusetts Institute of Technology, where her research focused on structural and biophysical characterization of transcription factor-DNA interactions. She was subsequently a Jane Coffins Childs postdoctoral fellow at Stanford University, where she studied mechanisms of protein export from the nucleus during T-cell signal transduction. She holds a B.S. in Biology from the University of Utah.

Dr. Kushi is a cancer and nutritional epidemiologist whose research is focused primarily on cancer outcomes and cancer care delivery research. He is currently multiple PI for five ongoing NCI-funded research projects. As a researcher based in the Division of Research, Kaiser Permanente Northern California (KPNC), these research projects typically involve data extracted from electronic health records and other clinical and administrative databases. These projects include the Pathways Study, a prospective cohort study of women diagnosed and treated for breast cancer and investigating multi-level factors in breast cancer outcomes and supported through the NCI’s cancer epidemiology cohort infrastructure program; and a program project grant focused on cancer care and outcomes among adolescents and young adults diagnosed with cancer. These and other projects also involve collaborations with researchers at many institutions, including academic health centers, other universities, and health care systems. He was PI of the NCI-supported Health Care Systems Cancer Research Network (CRN), providing infrastructure support for cancer research in a nationwide consortium of health care systems. The CRN developed one of the first common data models for research, known as the Virtual Data Warehouse (VDW). Recently, he co-led the Data Submission, Access, and Integration Operations Group for the NCI Serological Surveillance Network for COVID-19 (SeroNet). Within KPNC, he is a member of its Data Sharing Committee, which provides general guidance on data sharing with collaborators and for more general purposes, and reviews specific instances in which institutional concerns may arise. A graduate of Amherst College and the Harvard School of Public Health, Dr. Kushi was previously at the Fred Hutchinson Cancer Research Center, the University of Minnesota, and Columbia University where he was the Vahlteich Professor of Human Nutrition before joining the Division of Research, KPNC.

Dr. Catherine Lerro, Ph.D., M.P.H. is a Senior Epidemiologist in the Oncology Center of Excellence (OCE) at the US Food and Drug Administration (FDA). In this role, Dr. Lerro reviews clinical studies intending to support oncology applications that incorporate real-world data, supports collaborative regulatory science research related to real-world data, and provides education, training, and outreach. Prior to joining the OCE, Dr. Lerro was an epidemiology reviewer and acting team lead in the Office of Surveillance and Epidemiology in the FDA’s Center for Drug Evaluation and Research. She earned her Ph.D. from Yale in cancer epidemiology and completed a post-doctoral fellowship at the National Cancer Institute in the Division of Cancer Epidemiology and Genetics. Dr. Lerro has authored over 50 peer-reviewed publications, editorials, and book chapters. Her research interests include enhancing real-world data quality, epidemiologic methods and design, and descriptive epidemiology.

Dr. Sean Mooney, Ph.D., serves as the Director of the NIH Center for Information Technology and the NIH Associate Director for Information Technology, Cyberinfrastructure and Cybersecurity (AD ITCC). As the Director of CIT, he is responsible for providing leadership, vision, and direction for CIT. This includes overseeing an approximately $400 million portfolio that includes a world-renowned supercomputer that allows researchers to conduct large-scale data analyses; a state-of-the-art network that enables research across NIH and around the world; cloud-based services that give researchers a cost-effective way to access datasets and advanced computational tools and services; and the latest collaboration tools to promote flexibility and productivity. As the Associate Director for ITCC, Dr. Mooney oversees the NIH Office of the Chief Information Officer, which is responsible for NIH enterprise IT strategy, policy, architecture and oversight. Before joining CIT, Dr. Mooney served as a Professor of Biomedical Informatics and Medical Education at the University of Washington (UW) School of Medicine. He also served as Chief Research Information Officer of UW Medicine, Interim Director for the UW Institute for Medical Data Science, Associate Director of the National Alzheimer’s Coordinating Center, and Director of Informatics for the UW Institute of Translational Health Sciences. A Fellow of the American College of Medical Informatics, Dr. Mooney holds a Ph.D. in Pharmaceutical Chemistry from the University of California, San Francisco, a B.S. in Biochemistry and Molecular Biology from the University of Wisconsin, Madison, and was an American Cancer Society John Peter Hoffman Fellow in the Department of Genetics and Stanford Medical Informatics at Stanford University.

Mikala Narlock is the Director of the Data Curation Network, where she is a strong advocate for data curation and open scholarship. In her role, she collaborates with the DCN community to ensure the organization develops in a responsive and sustainable manner.

Anne-Michelle Noone joined the Surveillance Research Program in 2010. Her research focuses on applying statistical methods to surveillance data in novel ways utilizing a variety of data sources, including registry data, Medicare claims, and national mortality data. Her work includes evaluating, interpreting, and reporting the cancer burden in the United States for a variety of audiences. She enjoys communicating cancer statistics to the public as well as the research community. She has also led the effort to develop population estimates for detailed Asian/Pacific Islander groups, which has enabled cancer incidence rate and trend estimation for these groups.

Dr. Ravichandran is a Program Director at the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), overseeing research portfolios in systems biology, bioinformatics, computational biology, and data science, with a focus on digestive diseases and nutrition. With over two decades of experience in data standards, his expertise lies in advancing data interoperability. His past contributions include work at the Protein Data Bank to establish data standards and being a founding member of microarray data standards initiatives. Recently, his work has focused on leveraging AI technologies to further enhance data integration and interoperability in scientific research.

Adam Resnick is the Director of Data Driven Discovery in Biomedicine (D3b) at Children’s Hospital of Philadelphia (CHOP) responsible for leading a multidisciplinary team to build and support a scalable, patient-focused healthcare and educational discovery ecosystem on behalf of accelerated discovery and clinical translation for all children. The D3b Center is comprised of a trans-disciplinary team that spans the clinical research unit, biospecimen research unit; molecular diagnostics research unit, pre-clinical research unit, bioinformatics unit, translational imaging unit, and the advanced data applications and platform technologies unit.
Adam’s own laboratory-based research has focused on defining the mechanisms of disordered, central nervous system developmental signaling, oncogenesis and tumor progression in brain tumors, the leading cause of disease-related death in children. Through collaborative, multi-institutional platform-supported research, studies center on cell signaling cascades and their regulation in pediatric brain tumors in order to elucidate the molecular and genetic underpinnings of each tumor in an effort to identify and develop targeted therapies through clinical translation as well as define approaches to prevention and personalized treatments that minimize harm to the developing child.
Adam’s efforts extend beyond CHOP in his role as Scientific Chair for several consortia-based efforts, including the Children’s Brain Tumor Network (CBTN) and Pacific Pediatric Neuro-Oncology Consortium (PNOC), which include more than 30 pediatric hospitals across the globe. Adam also leads the ongoing development efforts of the NIH Gabriella Miller Kids First Data Resource Center, a platform supporting data sharing and discovery across pediatric cancers and structural birth defects.
Prior to arriving at CHOP, Adam earned a dual-bachelor’s in Neuroscience and English & Literature from the University of Florida before completing a PhD in Neuroscience from Johns Hopkins University in Baltimore, MD.

Ravi Samala is a regulatory scientist in the Division of Imaging, Diagnostics, and Software Reliability, in the Center for Devices and Radiological Health at the U.S. Food and Drug Administration. He is the Program Coordinator for the Office of Science and Engineering Laboratories AI Research Program. He has extensive experience in AI/ML within a wide range of medical imaging modalities and conducted research in academic and regulatory science.

Alireza Sedghi leads the Open Health Imaging Foundation (OHIF) platform as its principal architect and maintainer, driving forward this groundbreaking open-source initiative that is transforming medical imaging web viewers. He plays a crucial role in advancing two of the most widely-used open-source projects in medical imaging: Cornerstone and OHIF. Alireza's efforts are centered on enhancing these platforms to boost accessibility and functionality for healthcare professionals and radiologists globally.

With over a decade of experience in healthcare research and development, Alireza brings a wealth of knowledge to his role. He completed his PhD in Computer Science at Queen's University in 2020, with a focus on artificial intelligence and medical image analysis. This strong academic foundation, coupled with his hands-on experience, enables him to effectively bridge the gap between innovative research and practical applications in medical imaging. Alireza's commitment to open-source development is fostering a more transparent and equitable healthcare ecosystem. By making cutting-edge imaging technologies more widely available, he's enabling a diverse range of institutions and practitioners to access and benefit from these advanced tools.

Dr. Tanenbaum, who leads the Data Management Center of Excellence (DMCOE) for ODSS, has more than 20 years of professional experience in a variety of life science and technology venues, including at Celera Genomics, The J. Craig Venter Institute, The Lombardi Cancer Center, and MITRE. His formal training includes a PhD in Molecular Biophysics and Biochemistry from Yale University, and a BA in Chemistry from the University of Virginia. It also includes post-doctoral training at Harvard Medical School in Cancer Genomics. He also has more than a dozen peer-reviewed publications. He leads the Data Management Center of Excellence (DMCOE) on behalf of NIH ODSS.

The DMCOE is an essential accelerator for the NIH Strategic Plan for Data Science. The DMCOE collects relevant resources and best practices related to FAIR data management and sharing best practices, and seeks to leverage them for the benefit of NIH and the research community, including through development of learning and training materials. That is the focus of this demonstration. The DMCOE also helps support coordination and communication related to the NIH Strategic Plan for Data Science inside and outside of NIH, and provides critical SME expertise to NIH in DMCOE-relevant areas. Finally, it seeks to provide a diverse suite of support for establishing a clear and realistic vision for a modernized biomedical data and repository ecosystem, including tools and a realistic path to reach that objective.

Dr. Topaloglu is a clinical research informaticist who has been focusing on creating a semantically interoperable clinical research solutions with ontologies, and other standards such as Fast Health Interoperability Resources (FHIR). His research involves semantic research data frameworks that includes standard based data collection, Natural Language Processing (NLP) and privacy preserving Federated Learning (FL). He also is interested in creating research informatics roadmaps, provide strategic planning that encompasses enterprise data warehousing, Data Governance, and participation to the data sharing networks and involved with AACR GENIE and the National COVID Cohort Collaborative (N3C). He currently serves as the Chief of the Clinical and Translational Informatics Branch at the National Cancer Institute where he oversees the biomedical informatics efforts for several NCI clinical research endeavors, including the NCI Precision Medicine Initiatives, the Clinical Trials Reporting Program, and the strategic roadmap development. He also leads NCI’s Semantic Infrastructure (i.e. Enterprise Vocabulary Service [EVS] and cancer Data Standards Repository [caDSR]) and Real-World Data/Evidence (RWD/RWE) programs as well as several Artificial Intelligence (AI) efforts. Additionally, he provides data science expertise for these programs and collaborate closely with bioinformatics and data ecosystem initiatives. Previously, he was the Associate Director for the Center for Biomedical Informatics, CTSI Informatics Program, and the Wake Forest Baptist Comprehensive Cancer Center. He was also co- Director of the Bioinformatics Shared Resource for the Wake Forest University School of Medicine where he is currently an adjunct faculty.

Ana Van Gulick, Ph.D. is the Government and Funder Lead and Head of Data Review at the research repository Figshare. Ana received a PhD in Cognitive Psychology from Vanderbilt University in 2014 and has worked on data management, data sharing, and open science practices and infrastructure for the past 10 years including at the Carnegie Mellon University Libraries. She joined Figshare in 2020 where she manages repository projects for US Federal Agencies and public and private research funders including the NIH Generalist Repository Ecosystem Initiative (GREI) as well as leading Figshare's Data Curation Service supporting FAIR data and the Figshare Plus repository for large datasets.

Ellen Wann is the Assistant Director of Data Sharing and AI in the Scientific Data Sharing Policy Division of the Office of Science Policy at NIH. Since joining NIH in 2018, she has focused on policy areas related to data sharing, research participant protections, public private partnerships, and AI in research. She was involved in the development of the 2023 NIH Data Management and Sharing Policy and is currently aiding its implementation. Previously, Ellen was an AAAS Science and Technology Policy Fellow and a Society for Neuroscience Policy and Advocacy Fellow. Ellen earned her doctorate at University of California, Irvine in Neurobiology and Behavior and a Bachelor of Arts from St. Olaf College.

Mike Warfe is a Scientific Solutions Architect for the National Cancer Institute's Cancer Research Data Commons (CRDC). With a strong background in research computing, Mike specializes in designing and implementing innovative infrastructure solutions to support cutting-edge cancer research.

Previously, as the Director of Research Computing and Cyberinfrastructure at Case Western Reserve University, Mike successfully led and managed the university's research technology initiatives. His expertise in biomedical informatics and clinical informatics has been instrumental in integrating clinical data with research protocols, contributing to the success of NIH-funded awards.

Mike is dedicated to empowering researchers with the tools and support they need to advance their work in the fight against cancer.

Reda Wilson received a Masters of Public Health in Epidemiology from the University of Alabama Birmingham and is a certified Oncology Data Specialist. She is an Epidemiologist with CDC’s Cancer Surveillance Branch with more than 30 years’ experience in cancer surveillance; in an oncology practice and pathology laboratory, as a hospital cancer registrar, Director of the Alabama Statewide Cancer Registry, and Program Consultant with CDC’s National Program of Cancer Registries before moving to her current epidemiology position. She is the author or co-author of several presentations and publications. Ms. Wilson partners with all aspects of cancer surveillance stakeholders to provide technical assistance in registry operations, data quality, and design and evaluation of cancer incidence epidemiologic studies.

Matthew Wyczalkowski is an Assistant Professor at Washington University School of Medicine, with training in biomedical engineer and expertise in computational pipeline development, high performance computing, computational biology, and data visualization.  Over the last 10 years he has taken on leadership roles within the Ding Lab, working with teams to develop software, perform data analysis, and coordinate data and specimen tracking and submission.  He has successfully managed the CPTAC3 genomic analysis contract with the NCI/NIH, developing and managing computational pipelines for large scale analyses.  This work has facilitated a number of high profile research publications from CPTAC consortium.  He has managed sample tracking and data submission to the HTAN DCC as part of WUSTL HTAN center, and is the center data manager for the SenNet and GUDMAP consortia.  He has developed internal specimen and experiment tracking procedures, and worked closely with data coordination center personnel to develop data models for single cell, spatial, and imaging data submission.  As part of those consortia he has played an active role in developing data submission standards to promote cross-center data reusability.