
Eric Holland, MD, PhD
Titles: Senior VP and Director, Human Biology Division, Fred Hutch
Endowed Chair in Cancer Biology, Fred Hutch
Pigott Family Endowed Chair
Director, Seattle Translational Tumor Research, Fred Hutch and UW Medicine
Email: eholland@fredhutch.org

Neriah Alvinez, BS
Research Interests: Understanding the cell and molecular biology underlying disease using in vitro techniques and microscopy.
Publications: Google Scholar

Sonali Arora, MS
Research Interests: High throughput Genomic data analysis (including single cell RNAseq, CRISPR, ribosome profiling, RNASeq, methylation expression).
Publications: Visit Pubmed.

Deby Kumasaka, MS
Research Interests: Transgenic mouse models to study the efficacy of therapeutic drug studies in glioblastoma.
Publications: Visit Pubmed: Debra K Kumasaka or Deby Kumasaka

Abby Parrish
Research Interests: Develops genetically accurate, immunocompetent mouse models of meningiomas and pediatric fusion-driven tumors to advance understanding of tumor biology and explore potential therapeutic approaches. Leverages high-throughput transcriptomic datasets to better understand key biological signatures across these diseases.
Publications: Visit PubMed

Zach Russell
Research Interests: The effects of therapeutic drugs on in-vivo tumor models and the modeling of these tumors through the use immunohistochemistry (IHC) and fluorescence staining.

Lindsay Santiago
Research Interests: brain tumor development and new therapies for glioblastomas and pediatric brain tumors

Nayanga Thirimanne
Research interests: High throughput genomic data analysis to characterize and classify brain tumor types.
Publications: Visit Pubmed

Julia Walker
Research interests: Modeling the biology of therapeutic response in pediatric brain tumors to kinase inhibitors.
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Maddie West
Research Interests: Mouse models in glioblastoma.
Publications: Visit PubMed
Laavan Suresh
Research Interests: Utilizing RNA sequencing data from patients to develop a lung cancer landscape. Interested in leveraging genetic and clinical characteristics to identify important, predictive trends.
Ivan Ratushny
Research Interests: Gene expression analysis, pattern recognition, machine learning, and data visualization techniques.

Former Lab Members
See past Holland Lab members from 1999 to present.