Systems Immunology

Overview

The course is aimed at scientists involved in the use of multi-dimensional data generated by modern disease profiling technologies and the application of data analytics and AI/ML techniques.

The course will provide a broad understanding of foundational concepts in systems biology, statistics, and mathematics necessary to generate scientific hypotheses, devise scientific and analytical strategies, and run analyses and interpretations.

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

After the course, attendees will be able to:

• Discuss the opportunities opened by the use of genomics proteomics and immune profiling technologies in modern immunology, including next-generation and single-cell sequencing
• Describe scientific reports on the analysis of multidimensional data in bulk and single-cell samples
• Understand and discuss basic principles, challenges, and applications of bioinformatics data analysis and AI/ML
• Describe the main components, tasks, and challenges of genomics-based project in a grant proposal
• Describe potential pitfalls connected with overfitting, multiple hypothesis testing, and confounding variables

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

FOCIS offers a registration discount for attending more than one of the FOCIS educational courses. Learn more about the other offerings, including the Basic Immunology in Medicine course.

Registration Rates