Caring is (data) Sharing! Join this presentation to learn more about the variety of tools and services offered by the Institute for Informatics (I2), and some examples which highlight the diverse ways I2 has been able to facilitate data access and sharing.
Madhurima Kaushal is a Bioinformatics Scientist at Washington University School of Medicine. Her research primarily involves the analysis of high-throughput genomics and transcriptomics data. She relies on a systems-biology approach involving the analysis and synthesis of next-generation sequencing data. Her work incorporates analysis, pipeline management, annotation and visualization of biological data. She has developed innovative analysis strategies — from raw data to biological interpretation — and helped researchers with data publication, poster presentation and grant writing/renewal. She has worked on varied domains like next-generation sequencing, data annotation, sequence alignment, microarrays, LCMS data analysis, network and pathway analysis, cluster analysis, and functional and algorithm testing, etc. She has conducted various research computing workshops on R and genomic data analysis and visualization for the Washington University Medical Center community, conducted lab sessions on genomic data analysis and presented research methodologies for high-throughput analyses, and trained pathology or genomic residents in bioinformatics tools.
Brianna Magnusen, MD, is a Senior Medical Informaticist and a Manager of Data Brokerage Services at the Institute for Informatics at Washington University School of Medicine. After she earned her medical degree from WashU, she began steering her career toward the field of informatics. She currently manages the data brokerage line of service within the Institute for Informatics, where her role entails guiding investigators through various stages of the research life cycle to make their studies achievable. This support spans a wide spectrum and includes helping to develop feasible research protocols, establishing pipelines for clinical data extraction, as well as developing and implementing strategies for participation in multi-center research networks or registries. Brianna's expertise in EHR data and its retrieval, combined with her medical background, enriches her ability to help investigators recognize analytic challenges surrounding a diverse spectrum of clinical data, and offer strategies for navigating those complexities. She has experience participating in large, multi-institutional research networks such as PEDSNet, a pediatric learning health system, where she served as the institution’s lead data scientist, data analyst, and project manager. Highly familiar with common data models such as OMOP, she helps support the ongoing advancement of the institution's instance of OMOP within the Research Data Core.
Snehil Gupta is a Bioinformatics Scientist at the Institute for Informatics at Washington University School of Medicine. She leads the design, architecture, and project management for the development of the Research Data Core at Washington University School of Medicine. She also oversees the implementation of EHR-informatics tools such as i2b2, MDClone and TriNetX. Her expertise in data modeling allows her to adopt and convert EHR/clinical/genomics data to research standards (common data models such as ACT, PCORNet, OMOP, etc.). She has participated and represented WashU in several multi-institutional research networks and registries in a data scientist role, performing activities such as data modeling, data manipulation, data de-identification, data migration, querying and reporting using a variety of relational databases and statistical tools. Snehil's prior experience and background also includes business analysis in the Biomedical Informatics domain. She has also led requirements gathering, feasibility analysis and training activities in the informatics space, supported clinical and research system integration using computer science and clinical informatics knowledge.