Computational Health Center Institute of Translational Genomics (ITG)
We generate insights from big biomedical data to improve human health.
We generate insights from big biomedical data to improve human health.
2023 December 1st, Künstlerhaus Munich
The first "Munich for Women in Science" event is dedicated to inspiring positive change for Women in Science. The event will be hosted by Helmholtz Munich and has been organized in collaboration with the Technical University Munich (TUM), the Ludwig-Maximilians Universität München (LMU), the Max Planck Society, and the Fraunhofer Society. It will take place at the Münchner Künstlerhaus in Munich, on December 1st 2023.
The Munich ecosystem boasts research excellence institutions. This event will bring together key stakeholders for the first time, aiming to share lessons learned and examples of successful initiatives. Guest speakers from the UK will embellish the event by sharing their experiences and providing a different perspective. “I am excited about the potential for cross-pollinating ideas and learning from one another at this first-of-its-kind event in Munich. It is truly inspirational to see diverse institutions working together toward a common goal,” says Prof. Eleftheria Zeggini, Program Spokesperson for the Helmholtz Munich POF program ENABLE and speaker at the event.
The "Munich for Women in Science" event will also provide a platform for networking and collaboration, offering attendees the opportunity to connect, exchange ideas, and build valuable professional relationships. Everyone is welcome to attend.
Find more information here
Scientific Focus
Our research leverages big data in genetics and genomics for medically important human traits. We aim to translate insights from genomics into mechanisms of disease development and progression, shortening the path to translation and empowering precision medicine.
Our overarching aims are to
- Characterise the genetic architecture of common complex diseases of high public health burden;
- Generate insights into the biological mechanisms underpinning chronic disease development and progression;
- Develop robust methods for integrating big data to address key biomedical challenges;
- Catalyse pathways to translation for disease prognosis, management and treatment.
Principal Investigators at ITG
Publications
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