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Development of algorithms and computational tools for collecting, managing, analyzing, visualizing, and interpreting complex biomedical data; or using data science methods and tools to extract and discover new knowledge about biological systems. The scope of studies includes computational algorithms to analyze data from genomics and metagenomics, transcriptiomics and metatranscriptomics, proteomics, metabolomics, and multi-omics, and development of methods for large scale data management including data curation, standardization, and ontology.
Peggy Wang, Ph.D. Email: peggy.wang@nih.govBiographical Sketch
Development of advanced statistical techniques and methodologies for study design, data analysis and interpretation. The scope of topics ranges from -omics, bioimaging, data acquisition using high-throughput technologies, molecular and cellular biology, pharmacology, and populational studies.
Development of computational and informatics tools and methods for data privacy, harmonization, integration and analysis using electronic health records and other biomedical data aimed at elucidating biological function, ontology development, or developing models of health informatics related biological and biochemical processes. Areas of interest include population pharmacokinetics, pharmacovigilance, drug discovery and drug repurposing.
Han Nguyen, Ph.D. Email: han.nguyen@nih.govBiographical Sketch
Development of computational modeling for understanding population dynamics related to changes in population characteristics as a consequence of the interaction of organisms with the natural and built environments and/or with other species. In this context, infectious disease models are used to understand the spread of parasites, viruses, and infectious diseases.
Guoqin Yu, Ph.D. Email: guoqin.yu@nih.govBiographical Sketch
Development of new computational algorithms and mathematical methods for integrative understanding of biological systems that may span temporal and spatial domains. The system scale ranges from subcellular to cellular to tissue, organ, organoids/3D cultures, and organism populations, including microbes in natural or built environments. The topics include macromolecular regulatory systems (e.g. transcription, metabolism etc.), cellular architecture and intracellular dynamics, cell communication and motility, cell division and differentiation, tissue formation, organogenesis, tissue and organ functions.
Algorithm design and software development for bioinformatics research. The scope of studies includes software and tools development to facilitate biological data analysis, interpretation, and visualization to address research questions in basic biology. Areas of interest include software to analyze cellular processes and interactions, and bioimages, as well as software engineering for ontology and data structure.?
