Hunter Moseley, Ph.D. will present "Improving Deposition Quality, FAIRness, and Impact of Metabolomics" at the monthly Data Sharing and Reuse Seminar on February 11 at 12 p.m. ET.
About the Seminar
Dr. Mosely plans to discuss the richness of open data resources in biology and how they can support machine learning approaches and be enriched by such methods. He’ll also discuss how we might think about data sharing to maximize reuse and the value of our public investment.
About the Speaker
Dr. Mosely’s formal education spans multiple disciplines including chemistry, mathematics, computer science, and biochemistry. He has over 25 years of experience in bioinformatics research, particularly in the development of automated analyses of nuclear magnetic resonance (NMR), mass spectrometry (MS), x-ray crystallographic, ontological, and next generation sequencing (NGS) data. This includes extensive expertise in algorithm development, mathematical modeling, and biophysical informatics. He also has unique educational and research experiences that allow him to work across computational, mathematical, and biological fields, facilitating and leading collaborations between computational, statistical, and biological scientists. He is an Associate Director of the Institute for Biomedical Informatics at the University of Kentucky (UK). His lab has a strong history of developing open-source software tools that enable access of public repository data including the Biological Magnetic Resonance Bank (BMRB), worldwide Protein Data Bank (wwPDB), and the Metabolomics Workbench (MWbench). They also develop new methods in functional annotation enrichment and molecular interaction network analyses. They are actively developing methods to integrate metabolomics data with other omics-level datasets for systems-level analyses that can extract mechanistic information on specific biological processes and on specific human diseases which will translate into clinical practice.
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 Rachel Pisarski 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 exemplars 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.