Curriculum Vitae
Christopher A. Miller, PhD
Associate Professor, Division of Oncology, Washington University School of Medicine
Education
- 2011PhD, Structural and Computational Biology and Molecular Biophysics
Baylor College of Medicine, Houston, TX. Mentor: Dr. Aleksandar Milosavljevic. Thesis: Detection and Integrative Analysis of Genomic Aberrations in Cancer. - 2005BS, Biology and Computer Science
Truman State University, Kirksville, MO
Academic positions
- 2022–Associate Professor in Medicine, Division of Oncology — Washington University School of Medicine
- 2016–22Assistant Professor in Medicine, Division of Oncology — Washington University School of Medicine
- 2015–16Instructor in Medicine, Division of Genomics and Bioinformatics — Washington University School of Medicine
- 2013–17Cancer Analysis Group Leader, The Genome Institute — Washington University in St. Louis
- 2011–13Staff Scientist — Medical Genomics, The Genome Institute — Washington University in St. Louis
Research funding
- 1 R50 CA211782 (PI) — NIH/NCI, 2017–2027. Comprehensive informatic analyses of AML genomes and epigenomes.
Service & peer review
- NIH Study Section reviewer — MCTB (Mechanisms of Cancer Therapeutics B)
- Journal reviewer — Bioinformatics, Cancer Cell, Genome Biology, PLoS Computational Biology, Nucleic Acids Research, Nature Communications, Genome Research, Blood Cancer Discovery, Scientific Data, BMC Evolutionary Biology, BMC Bioinformatics, Journal of Open Source Software
- Grant reviewer — Dutch Cancer Society (KWF Kankerbestrijding); Siteman Cancer Center Investment Fund
Professional societies
American Association for Cancer Research
International Society for Computational Biology
Cancer Genomics Consortium
Talks and Presentations
Selected invited talks and conference presentations.
- 2026Using big data and multi-omics to identify therapeutic opportunities in cancer
Webster University - 2026Cancer Genomics and Bioinformatics: Using computational methods to better understand and treat AML
Truman State University - 2025Cancer Genomics and Bioinformatics: Using computational methods to better understand and treat AML
Southern Illinois University, Biology Colloquium - 2023Computer Science in biology: using bioinformatics to understand and treat cancer
Truman State University, Computer Science Colloquium - 2021Genomic and transcriptional evolution of AML at single-cell resolution
Institute of Medical Informatics, Münster, Germany - 2021Computational cancer genomics: using “Big Data” to understand how tumors evolve
Truman State University, Biology Seminar Series - 2020Sequencing, Variant Calling, and Cancer Genomics
Genomics Education Partnership (GEP) Workshop - 2019Tumor Heterogeneity and Evolution
Genomics in Medicine Seminar Series - 2016Genomic insights into tumor evolution and therapy response
Festival of Genomics, Boston - 2016Characterizing genomic responses to cancer immunotherapy
Genome Informatics - 2015Assessing tumor heterogeneity and tracking clonal clearance in response to therapy
Genome Informatics - 2014Ultra-deep whole-genome sequencing reveals clinically relevant low-frequency subclones in an acute myeloid leukemia
The Cancer Genome Atlas Symposium - 2013SciClone: Inferring clonal architecture and tracking the spatial and temporal patterns of tumor evolution and therapy resistance
Precision Medicine: Personal Genomes and Pharmacogenomics - 2013Automatic inference of therapeutically relevant subclones in heterogeneous tumors
TCGA Steering Committee Meeting - 2012Assessing Tumor Heterogeneity and Tracking Clonal Evolution Using Whole Genome or Exome Sequencing — video
The Cancer Genome Atlas Symposium
Contact
Campus Box 8501, 660 South Euclid Ave, St. Louis, MO 63110
c.a.miller@wustl.edu