Raphael Gottardo, Ph.D.

Raphael Gottardo Ph.D.

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Raphael Gottardo, Ph.D.

Scientific Director
Translational Data Science Integrated Research Center, Fred Hutch

Vaccine and Infectious Disease Division, Fred Hutch

Professor, Herbold Computational Biology Program
Public Health Sciences Division, Fred Hutch

J. Orin Edson Foundation Endowed Chair
Fred Hutch

Fax: 206.667.4378
Mail Stop: S2-140

Dr. Raphael Gottardo is a computational biologist who specializes in the application of rapidly evolving ideas in data science to solve problems in cancer and related diseases. As scientific director of Fred Hutch’s Translational Data Science Integrated Research Center, his goal is to expand data-driven innovations for patients. His strategy is to cultivate a cross-disciplinary environment in which doctors and laboratory scientists work seamlessly with their colleagues in biostatistics and computational sciences to take advantage of the flood of information made possible by advanced technologies. Dr. Gottardo’s own research involves the development of computational tools for vaccine and immunology studies, including high-throughput experiments that may use flow cytometry or high-speed genome sequencing. 

Other Appointments & Affiliations

Affiliate Professor, Statistics
University of Washington


University of Washington, 2005, Ph.D. (Statistics)

Portland State University, 2002, M.S. (Statistics)

Institut des Sciences et Techniques de l’Ingénieur de Lyon, 2001, M.S. (Mathematics)

Research Interests

Developing methods and tools for high-throughput, high-dimensional experiments with applications in vaccine research, immunology and immunotherapy

Data integration for immune-correlate studies

Single-cell analysis (cytometry, CyTOF and single-cell RNA-seq)

Bayesian inference and computation

Statistical computing

Teaching/Mentoring Interests

Teaching courses in stochastic modeling, bioinformatics and statistical computing

Supervising biostatistics and statistics doctoral students on statistical-methods research for high-dimensional omics data analysis

Current Studies

Statistical and computational analysis of flow cytometry data

Development of statistical and computational methods for single-cell genomics

Immune responses to malaria and HIV infection and immunization within the Human Immunology Project Consortium (HIPC)

Development of the HIPC database and research portal (www.immunespace.org)

Contribution to the Bioconductor project, an open computing resource for genomics

Leadership for the Vaccine and Immunology Statistical Center of the Collaboration for AIDS Vaccine Discovery of the Bill and Melinda Gates Foundation

Leadership for the Vaccine Statistical Support (VSS) Global Health Vaccine Accelerating Platform (GH-VAP) of the Bill and Melinda Gates Foundation



“To bring people together who may have never worked in this area is very transformative. This is what we need. It is obviously very important to anything we do now."

— Dr. Raphael Gottardo

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For the Media

The Media Relations team at Fred Hutch is available to assist members of the news media who would like to arrange interviews with faculty.

Email media@fredhutch.org or call 206.667.2210.