
Eric Holland, MD, PhD
Titles: Senior VP and Director, Human Biology Division, Fred Hutch
Endowed Chair in Cancer Biology, Fred Hutch
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.
.jpg)
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.