Michelle Yu

Data Management & Sharing

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Michelle Yu

Data Manager

About

Michelle

Michelle Yu is a Data Manager in the Office of Collaborative Research (OCR) with the Bakar ImmunoX Initiative, providing research data management and sharing support to investigators. She has been at UCSF since 2004, working as a Statistician and Data Systems Analyst in the Department of Epidemiology and Biostatistics, on projects focused on HIV and Hepatitis C-related epidemiology, treatment, and intervention. In 2014, she began working at the Airway Clinical Research Center (ACRC) to manage their biobanking database and provide investigators with data support. In addition to her role as data manager in the OCR, she is also a research data analyst for the Woodruff Laboratory and the Koth Lab, where she assists the principal investigators in studying biomarkers of asthma and sarcoidosis, preparing clinical research data and analyses, and continues to manage the biobank database for the ACRC.

Research & Service Areas

Projects

AutoImmunoprofiler

Inflammatory Bowel Disease, Lupus Cutaneous, Lupus Nephritis, Scleroderma, Sjögren’s Syndrome, Type 1 Diabetes

AutoImmunoprofiler is a consortium project with the objective to profile a range of autoimmune diseases using a combination of proteomic, transcriptomic, epigenomic, and structural analyses. Emphasis will be on freshly collected tissue samples with matched peripheral blood samples from select clinically well-annotated patients. Overall goals include to better understand the underlying mechanisms of autoimmune diseases, identify the relationship between diseased tissue and peripheral compartment, elucidate novel pathways and targets for therapeutic intervention, and to guide the selection of patients and indications for existing drugs.

Active

Sjögren’s Team for Accelerating Medicines Partnership (STAMP)

Sjögren’s Disease

Sjögren’s Disease is a common systemic autoimmune rheumatic disorder that primarily affects salivary and lacrimal glands through lymphocytic infiltration and autoantibody-mediated inflammation, resulting in significant morbidity. STAMP will interrogate the tissue and systems biology of SjD using deep sequencing and other cutting-edge technologies, to better understand 1) the pathogenesis of SjD and identify therapeutic targets, and new biomarkers; and 2) disease mechanisms inherent to progression of SjD from non-SjD to SjD, and from “early SjD” to “advanced SjD”.

Active

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