Systems Immunology

Overview

Monday, June 8, 2026 | 1:00 PM – 5:00 PM and Tuesday, June 9, 2026, 8:00 AM – 12:00 PM
This intensive 8 hour course over 2 days provides translational researchers with a comprehensive foundation in systems immunology approaches that are transforming drug discovery, precision medicine, and immuno-oncology. Led by industry experts from Sanofi and Roche, this course bridges computational biology, high-dimensional data analysis, and clinical applications to equip participants with the knowledge needed to leverage systems-level thinking in their research.
The day 1 sessions establish core principles of systems immunology and explore its application to immune oncology through a data-centric lens, followed by an in-depth examination of how systems approaches are revolutionizing drug discovery pipelines. Participants will gain insights into integrating multi-omic datasets, network biology, and computational modeling to understand immune system dynamics.

The day 2 sessions focus on cutting-edge spatial biology methods and analytics that reveal tissue-level immune architecture in oncology and immunology contexts. The course addresses critical challenges in patient heterogeneity and precision medicine strategies, providing frameworks for translating systems-level insights into clinical decision-making. The day concludes with an interactive data analysis session where participants engage directly with real-world datasets and analytical approaches.

Target Audience

This course is designed for:

• Clinical fellows in disciplines related to immunology and translational research
• Fellows doing basic research with an emphasis on analyses of large and integrated genomics data sets in immunology and immune-oncology
• Scientists and other research and development personnel from biotechnology and pharmaceutical companies who are involved in drug target and biomarker identification programs for immunological diseases
• Academic or community physicians who wish to enhance their understanding of personalized medicine concepts, computational biology, and modern genomics and immune-profiling technologies

Learning Objectives

• Understand fundamental principles and applications of systems immunology in translational research
• Apply systems approaches to drug discovery and immuno-oncology challenges
• Interpret spatial biology data and analytics for immune profiling
• Develop strategies for addressing patient heterogeneity in precision medicine
• Gain hands-on experience with systems immunology data analysis tools

Reviews

Read why past attendees enjoyed the course:

• “The course gave me great conceptual introductions to approaches to take with these types of datasets.”
• “This course was very helpful for me to better understand how to approach computational problems on a large scale and will help me organize and interpret my data.”
• “Wonderful. Something for beginners, something for seasoned pros. The session on reviewing recent papers was particularly useful. People who are experts in transcriptomics may not have had an idea of how to even begin to do a functional microbiome analysis – great selection of papers and great execution.”
• “I will recommend this course to my colleagues. The field will soon be entirely “big data” analyses and clinical immunologists MUST understand these methods (perhaps not to the extent of performing).”
• “I am just entering the world of big data and this course really did a great job of introducing the core concepts, techniques, and challenges to consider when analyzing and developing these types of data sets.”

Emanuele de Rinaldis, PhD, Sanofi

Magnus Fontes, PhD, Roche

Monday, June, 8

Tuesday, June 9

Registration Rates