Ashley S. Doane, PhD
Chief Computational Biologist, SignPostDx
Advancing precision medicine through computational genomics, immuno-oncology, and single-cell multi-omic analysis
About
I am a computational biologist with over a decade of experience in cancer genomics, immuno-oncology, and single-cell multi-omic analysis. I specialize in developing algorithms and reproducible pipelines for somatic variant calling, biomarker discovery, and immunotherapy research, and I have contributed to high-impact studies published in Science, Nature Genetics, and Cell.
I excel in cross-functional collaboration and in translating complex genomic insights into actionable advances in precision medicine. My work bridges computational methods development with mechanistic biological discovery, focusing on understanding tumor evolution, immune regulation, and transcriptional control in cancer.
10+
Years Experience
30+
Publications
High-Impact
Journals
Multiple
NIH Fellowships
Education
Research & Experience
Chief Computational Biologist
CurrentLeading computational biology efforts in cancer diagnostics and precision medicine.
Postdoctoral Research Fellow in Computational Immuno-Oncology
July 2023 - September 2025- Developed a computational framework for single-cell tumor-immune interactions
- Contributed to discovery of IL-33-driven tertiary lymphoid structures (Nature, 2025)
- Applied single-cell and spatial omics to study immune regulation in cancer
- Mentored computational biology graduate students
Postdoctoral Research Fellow in Computational Genomics
January 2022 - July 2023- Led somatic and structural variant analysis in large cohorts of cancer patients for The Cancer Genome Atlas (TCGA) studies
- Developed multi-omic computational methods to infer tumor enhancer hijacking structural variants
- Coauthored studies mapping cancer chromatin landscapes (Science 2024; Nat Genet 2025)
Graduate Research Associate
July 2017 - January 2022- National Cancer Institute Research Fellowship (F31) for studying chromatin architecture in B cell lymphoma subsets
- Discovered OCT2 mechanisms in B cell fate (Nature Immunology, 2021)
- Developed computational methods to infer transcription factor activity from chromatin accessibility and transcriptome sequencing data
- Developed and benchmarked best-practice multi-omic NGS pipelines
Expertise
Computational Genomics
- Somatic and germline variant calling, WGS/WES
- Integrated analysis of RNA-seq, ATAC-seq, ChIP-seq, Hi-C, and single-cell multi-omics
- Reproducible NGS workflows
Quantitative Methods
- Machine learning
- Statistical modeling and Bayesian data analysis
- Network analysis
- Information theory
Domain Expertise
- Tumor evolution and cancer driver discovery
- Immuno-oncology and anti-tumor immunity
- Regulatory genomics of immune cell development
- Transcriptional regulation, epigenomics, and chromatin architecture
Collaboration
- Cross-functional teamwork with clinicians, biologists, and computational scientists
- Mentoring graduate students
- Scientific communication and presentation
Selected Publications
Featuring high-impact contributions to Nature, Science, Cell, and other leading journals.
IL-33-activated ILC2s induce tertiary lymphoid structures in pancreatic cancer
View Publication →BTG1 mutation yields supercompetitive B cells primed for malignant transformation
View Publication →OCT2 pre-positioning facilitates cell fate transition and chromatin architecture changes in humoral immunity
View Publication →Histone H1 loss drives lymphoma by disrupting 3D chromatin architecture
View Publication →A nuclear cAMP microdomain suppresses tumor growth by Hippo pathway inactivation
View Publication →Get in Touch
I'm always interested in discussing computational biology, collaboration opportunities, and advancing precision medicine.