Brian Capaldo, Ph.D.
Bioinformatics Specialist
- Center for Biomedical Informatics & Information Technology
- Informatics and Data Science Program
- Computational Genomics & Bioinformatics Branch
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Current Role
Current Role
As a bioinformatics specialist, I’m responsible for fostering collaborations that use high throughput molecular biology assays to better understand cancer. My expertise is in statistical modeling of these data, including next-generation sequencing and high parameter single cell cohorts. I also use machine learning and artificial intelligence to perform integrative analysis.
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Projects
Projects
Molecular Analysis for Therapy Choice (MATCH)
Enrolls patients to determine whether treating cancer based on their genome is effective.
Pediatric MATCH
Enrolls children, teens, and young adults to test precision medicine for childhood cancers.
Therapeutically Applicable Research to Generate Effective Treatments
Works with NCI labs to analyze genetic data from childhood cancers to help guide less toxic therapies. -
Publications
Publications
Featured Publications
Progression of Prostate Cancer Reprograms MYC-mediated Lipid Metabolism via Lysine Methyltransferase 2A. Discover Oncology, 2022.
Targeting the PI3K/AKT Pathway Overcomes Enzalutamide Resistance by Inhibiting Induction of the Glucocorticoid Receptor. Molecular Cancer Therapeutics, 2020.
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Background
Background
Education
- Ph.D., Biochemistry and Molecular Genetics, University of Virginia
- B.S., Molecular and Cellular Biology, Johns Hopkins University
Previous Work
- Staff Scientist, Laboratory of Genitourinary Cancer Pathogenesis, Center for Cancer Research, NCI
- Bioinformatics Scientist, Columbus Technologies
- Data Analyst, University of Virginia School of Medicine Core Facilities