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The Systems Vaccinology: Omics and Computational Approaches program is designed to bridge the gap between traditional vaccinology and cutting-edge omics technologies. This interdisciplinary program offers an in-depth exploration of how genomics, transcriptomics, proteomics, and metabolomics can be leveraged to gain a holistic view of the immune response to vaccines. Participants will engage with computational tools and bioinformatics approaches to analyze and interpret complex biological data, enabling them to contribute to the next generation of vaccine development.
Through a combination of lectures, hands-on workshops, and case studies, participants will gain practical experience in using state-of-the-art computational methods to analyze omics data. They will learn to integrate data from different omics layers to construct comprehensive models of immune responses, identify biomarkers of vaccine efficacy and safety, and predict population-level vaccine outcomes. This program is ideal for researchers, clinicians, and professionals seeking to expand their knowledge and skills in the rapidly evolving field of systems vaccinology.
The Systems Vaccinology: Omics and Computational Approaches program is designed to bridge the gap between traditional vaccinology and cutting-edge omics technologies. This interdisciplinary program offers an in-depth exploration of how genomics, transcriptomics, proteomics, and metabolomics can be leveraged to gain a holistic view of the immune response to vaccines. Participants will engage with computational tools and bioinformatics approaches to analyze and interpret complex biological data, enabling them to contribute to the next generation of vaccine development.
Through a combination of lectures, hands-on workshops, and case studies, participants will gain practical experience in using state-of-the-art computational methods to analyze omics data. They will learn to integrate data from different omics layers to construct comprehensive models of immune responses, identify biomarkers of vaccine efficacy and safety, and predict population-level vaccine outcomes. This program is ideal for researchers, clinicians, and professionals seeking to expand their knowledge and skills in the rapidly evolving field of systems vaccinology.
The aim of the “Systems Vaccinology: Omics and Computational Approaches” program is to provide participants with a comprehensive understanding of how omics technologies and computational methods can be applied to vaccine research and development. Through this program, participants will learn to integrate multi-omics data to uncover new insights into vaccine responses, design novel vaccines, and predict vaccine efficacy and safety.
Week 1: Introduction to Systems Vaccinology
Overview of systems biology in vaccine science
Multiscale integration: molecular to population level
High-throughput biology and immune system modeling
Importance in next-gen vaccine design and evaluation
Week 2: Omics Approaches in Vaccinology
Transcriptomics, proteomics, metabolomics in vaccine response
Single-cell sequencing for immune profiling
Integrative omics data platforms
Biomarker discovery for vaccine efficacy and safety
Week 3: Computational Modeling and Predictive Analytics
Network analysis of immune responses
Machine learning for vaccine response prediction
Agent-based models and simulation of immune dynamics
Case studies: Flu, COVID-19, TB vaccine modeling
Week 4: Data Integration, Visualization, and AI Tools
Integrating omics, clinical, and population datasets
Tools: Cytoscape, NetBioV, Python/R for immunoinformatics
AI in antigen discovery and epitope mapping
Translational challenges and future of digital vaccinology
Standard Fee: INR 8,998 USD 198
Discounted Fee: INR 4499 USD 99
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PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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