Translational Immunoinformatics

Overview

The immune system, primarily the adaptive immunity, plays a significant role in many disease etiologies including that of cancer, autoimmune diseases, and infectious diseases.


Our group works on developing and applying methods from bioinformaticsmachine learning, and combinatorial optimization to gain a deeper understanding of the immune system involvement in disease and to aid in the design of new immunotherapies

Our focus currently lies on:

  • Dissecting the immune microenvironment in a disease context by studying the immune cell composition and T-cell repertoire through single-cell experiments.
  • Developing epitope and immunogenicity prediction models using modern Deep Learning and Kernel-based methods that not only have high accuracy but also can quantify their prediction uncertainty.
  • Developing computational models for vaccine and biotherapeutic design by combining machine learning models with combinatorial optimization techniques to efficiently explore vast design spaces to find high-quality therapeutic candidates.

 

 

 

We use cookies to improve your experience on our Website. We need cookies to continuously improve the services, to enable certain features and when embedding services or content of third parties, such as video player. By using our website, you agree to the use of cookies. We use different types of cookies. You can personalize your cookie settings here:

Show detail settings
Please find more information in our privacy statement.

There you may also change your settings later.