University of California, San Francisco

San Francisco, CA, USA
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meet the

Team

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Joseph Shieh, MD, PhD

Dr. Shieh is a board certified Medical Genetics and Genomics physician. He specializes in evaluating individuals with complex medical genetic conditions. Dr. Shieh's research laboratory aims to understand the genetic basis of diseases, particularly conditions affecting children, by using genomic and

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Soonmee Cha, MD

Soonmee Cha, MD, is a Professor In Residence of Radiology and Neurological Surgery at the University of California, San Francisco. She is the Diagnostic Radiology Residency Program Director, and she is Radiology's Vice-Chair of Education. Dr. Cha has focused on the importance of validating the usefu

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Billy Nguyen, MD

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Noriyuki Kasahara, MD, PhD

Dr. Kasahara's research focuses on the improvement of vector technologies to make gene therapy more practical and clinically useful. To do so, the Kasahara Lab has pursued strategies for utilizing conventional vectors more efficaciously when applied to specific diseases, and developing the next gen

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Husam Babikir, PhD

My research in the Diaz lab involves drafting single-cell atlases of pediatric and adult gliomas. Also, I study the effect of standard therapy on clonal selection and microenvironmental composition of glioblastoma. In addition, I perform functional analysis to investigate the impact of immunotherap

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Karin Shamardani

My research in Diaz lab involves applying molecular approaches to identify pathways involved in glioma progression. I perform single-nuclei RNA and ATAC sequencing on pediatric and adult glioblastoma samples.

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Lin Wang, PhD

My research interest is to use multi-omics methods including scRNA-Seq, scATAC-Seq and bulk sequencing approaches to uncover the cellular heterogeneity, tumor microenvironment and identify new potential targets for glioblastoma.

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Francisca Catalan, BS

My research in the Diaz Lab involves creating processing pipelines for single-cell data from primary and recurrent human glioma samples.  I've created a single cell database that allows the user to look up genes expression across 100,000+ cells and their corresponding cell type, diagnosis – ultimat