Raphael Gottardo

Raphael Gottardo is a Full Professor of Biomedical Data Science at the University of Lausanne (UNIL), Faculty of Biology and Medicine, and serves as Director of the CHUV Biomedical Data Science Center. He has been in this position since August 1, 2021. Prior to this, he was a full professor in the Division of Vaccines and Infectious Diseases at the Fred Hutchinson Cancer Research Center in Seattle and an affiliate professor of statistics at the University of Washington.

• BSc, Applied Mathematics, Claude Bernard Lyon 1 University, Lyon (France), 1995–1999
• MSc, Mathematics/Statistics, Portland State University, Portland (United States), 1999–2001
• PhD, Statistics, University of Washington, Seattle (United States), 2002–2005

His research focuses on developing computational tools and novel machine learning methods for analyzing high-dimensional single-cell data, with applications in immunology, vaccine research, and immunotherapy. His early work involved Bayesian modeling of gene expression data, and he continues to advance the field of translational data science through integrative computational approaches. His expertise bridges statistics, machine learning, and biomedical applications, particularly in the context of infectious diseases and cancer immunology.

Throughout his career, Gottardo has held significant leadership roles, including Scientific Director of the Fred Hutch Translational Data Science Integrated Research Center. His work emphasizes the translation of data science innovations into clinical and public health applications.

Scientific Awards:

• J. Orin Edson Foundation Endowed Chair, Fred Hutch (2018–2021)

Gottardo has held academic appointments at the University of British Columbia (Assistant Professor, 2005–2010), Montreal Clinical Research Institute (Assistant Professor, 2008–2010), and Fred Hutchinson Cancer Research Center (Associate Professor, 2010–2015; Professor, 2015–2021). He also held affiliate faculty positions at the University of Washington. While no specific students or grants are mentioned, his leadership in large-scale data science centers indicates significant mentorship and funding activities.

He leads the CHUV Biomedical Data Science Center, a hub for developing and applying data science methodologies to biomedical challenges, particularly in immunology and personalized medicine.