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The Annual Chica and Heinz Schaller Research Award

The Chica and Heinz Schaller Research Award is an annual prize given to a promising young scientist for achievements in the biomedical sciences. The applicant should have a proven track record documenting independent research performed at the University or associated research institutions in Heidelberg. The candidate is selected by Foundation members at their annual meeting in November.

The awardees of this year's Chica and Heinz Schaller Research Award are Marieke Essers and Theodore Alexandrov

 

 

 

 


About Marieke Essers:

During her PhD thesis work in the division of Biomedical Genetics from the University Medical Center Utrecht, Marieke Essers focused on the role of FoxO transcription factors in quiescence and stress responses in cells. She then moved to the Swiss Institute for Experimental Cancer Research in Lausanne for post-doctoral research in Genetics and Stem Cells.

Since 2009, she heads her own junior research group at the Heidelberg Institute for Stem Cell Technology and Experimental Medicine and the German Cancer Reserach Center, where her main focus lies on understanding the link between inflammation and haematopoetic stem cells. Her work provides also new tools and ideas on how the activation of malignant leukemic stem cells is triggered, ultimately improving the efficacy of leukemia treatments. 


About Theodore Alexandrov:

Theodore Alexandrov received a PhD in mathematics in Russia in 2007. He performed his postdoctoral research at the University of Bremen, Germany, where he later became a group leader and the head of the MALDI Imaging Lab, while being a visiting researcher at the University of California San Diego. 

Since 2014, he is a team leader at the European Molecular Biology Laboratory in Heidelberg and the head of the EMBL Metabolomics Core Facility.  He recieved an ERC Consolidator grant and coordinates the European METASPACE project, an initiative to push metabolite imaging to a new level.  The overarching aim of his research is to picture metabolism across different spatial scales by creating technologies and in particular by translating big spatial metabolomics data into molecular knowledge.