Professor Carnegie Mellon University Pittsburgh, Pennsylvania, United States
Course Program (all times are listed in Pacific Time)
7:30 - 8:00 am Continental Breakfast 8:00 - 8:10 am Course Overview & Objectives – Emanuele de Rinaldis, PhD 8:10 - 9:00 am Introduction to Systems Immunology – Emanuele de Rinaldis, PhD 9:00 - 9:45 am Systems Immunology & Immune Oncology: A Data-Centric View – Magnus Fontes, PhD 9:45 - 10:00 am Break 10:00 - 11:30 am Deep Dive into Selected Scientific Case Studies (I): From Systems Immunology to Novel Therapeutic Insights – Emanuele de Rinaldis, PhD 11:30 - 12:00 pm Q&A / Panel Discussion 12:00 pm - 1:00 pm Lunch 1:00 - 2:00 pm Analysis and Integration of Time Series Omics Data for Immunology – Ziv Bar-Joseph, PhD 2:00 - 2:15 pm Break 2:15 - 3:15 pm Analysis and Integration of Time Series Single Cell Data – Ziv Bar-Joseph, PhD 3:15 - 3:30 pm Break 3:30 - 4:30 pm Interactive Data Analysis Session – Magnus Fontes, PhD 4:30 - 5:00 pm Wrap Up Notes & Final Remarks – Magnus Fontes, PhD
Learning Objectives:
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.
Describe the main components, tasks, and challenges of a genomics-based project in a grant proposal.
Describe potential pitfalls connected with overfitting, multiple hypothesis testing, and confounding variables