MODS Symposium

We are pleased to announce the symposium on the Multi-Omics Data Science (MODS) project. MODS is a cooperative project that addresses the developments in biotechnology and multi-omics data and integrates artificial intelligence and data science into biomedical research. MODS focuses on metabolic disorders such as obesity, diabetes, and their cardiovascular and neurological manifestations. By leveraging multi-omics data, the initiative aims to enhance our understanding of disease mechanisms and develop tailored therapies for at-risk individuals.

Registration is free and we encourage early career researchers (PhD candidates and Postdocs) to attend and engage in discussions with the MODS members and the invited speakers.

Information:

Date: 29th of October, 2024

Time: 10 am to 4:30 pm (10:00 - 16:30)

Location: Haus der Universität, Schadowplatz 14, 40212 Düsseldorf, Google Maps Location. Directions Here.

Registration: You can either fill this Google form, or send an email directly to our coordinator Fawaz Dabbaghie

Speakers:

• Prof. Dr. Marcel Schulz, Professor for Computational Biology, Goethe University and Uniklinikum Frankfurt. Website
  • Title: "Discovering human disease genes by integration of multi-modal data"

• Dr. Oana-Patricia Zaharia, Institute for Endrocrinology and Diabetology, University Hospital Düsseldorf. 
  • Title: "Multimodal approaches in understanding the heterogeneity of diabetes"

• Prof. Dr. med. Carolin Victoria Schneider, Assistant Professor at RWTH Aachen, Website
  • Title: "Using multiomics and big data for prevention of metabolic liver diseases"

• Prof. Dr. med. Maria Grandoch, Director of the Institute for Translational Pharmacology, University Hospital Düsseldorf. Website
  • Title: "Immune cell responses in cardiometabolic diseases"

• Dr. Yu Xu, Department of Public Health and Primary Care, Churchill College Cambridge, University of Cambridge. Website
  • Title: "Development, application and open resource for multi-omic genetic scores"

• Prof. Dr. Jürgen Dukart, Institute for Neuroscience and Medicine, Jülich Research Center. Website
  • Title: "Digital infrastructure for clinical networks - the ABCD platform"

Schedule