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Computational vaccinology

Data driven approaches are essential in supporting the next generation therapeutic. Our computational biology group at the International Centre for Cancer Vaccine Science (ICCVS) employs Bioinformaticians, Software Engineers, Data Engineers, Mathematicians and Statisticians to play critical roles in our research and development programs.

Our aims
T-Cell Vaccine discovery pipelines

Building and benchmarking pipelines for personalized and generalized vaccines leveraging the T-Cell response

Clinical Proteogenomics

Multi-omic integration to better understand cancer

The design of novel antibody therapeutics

The cross-species in-silico design of new antibody-therapeutics

Algorithm and Pipeline Development

Building and benchmarking pipelines to facilitate the high-throughput analysis of sequencing and mass-spectrometry data.

Machine Learning and Artificial Intelligence

Application of ML/AI towards prediction of immunotherapy efficacy and neoantigen prioritization

Emerging technologies

Identifying emerging technologies in genomics and proteomics and supporting their initial application to cancer vaccine science.

Our team

The Immuno-Informatics research group

Dr. Javier A. Alfaro
Team leader
Georges Bedran
PhD Student