Schering Stiftung

Prize winner 

Laleh Haghverdi

A geometric deep learning framework for single-cell trancriptomics data analysis

Laleh Haghverdi

A geometric deep learning framework for single-cell trancriptomics data analysis


The classification and recognition of known and new cell types is one of the central goals of single-cell transcriptomics data analysis. The Human Cell Atlas consortium, for example, aims to identify all different cell types in the human body, which can serve as a reference for diagnosing health and disease states of tissue samples collected. Existing cell type classification methods generally consider the feature dimensions of the data (i.e., genes) but disregard the relation between them. The young scientist Laleh Haghverdi from the European Molecular Biology Laboratory in Heidelberg uses the modular architecture of gene regulatory networks (GRNs) and the fact that several gene interactions are already classified in existing databases to prepare a framework for more accurate cell type recognition based on geometric deep learning.

Dr. Haghverdi’s project is supported by the “Young Investigator Fund for Innovative Research Ideas” of the Schering Stiftung and the Fritz Thyssen Foundation.

CV 

Dr. Laleh Haghverdi studied physics at the Sharif University of Technology, Tehran, Iran, and the University of Cologne. She received her PhD in mathematics at the Technical University of Munich. From 2016 to 2017, she was a postdoc at the European Bioinformatics Institute, Cambridge, UK. Since September 2017, Dr. Laleh Haghverdi has been a postdoc at the European Molecular Biology Laboratory in Heidelberg.

You might also be interested in

September 21, 2018

Konstantin Sparrer

Targeting autophagy to fight viral infections

September 21, 2018

Ayelén González Montoro

Mechanisms and cellular function of compartmentalization within the membrane of an organelle

Cordelia Imig

Dissecting the Molecular and Morphological Requirements for Gut Hormone Secretion

Sofia Iris Bibli

CSE derived H2S and the regulation of endothelial cell function

 

Newsletter 

Contact & social networks

Schering Stiftung

Unter den Linden 32-34
10117 Berlin

Telefon: +49 - 30 - 20 62 29 65
Email: info@scheringstiftung.de

Opening hours
Project space

Donnerstag bis Montag: 13-19 Uhr
Eintritt frei

Follow us!

Folgen Sie uns auf unseren weiteren Kanälen und erfahren Sie so von den neuesten Entwicklungen!

facebook Youtube