Maria Mircea
© Maria Mircea
Dr. Maria Mircea
ORCID iD 0000-0002-1935-8665
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Affiliations
  • Life and Medical Sciences Institute (LIMES)
Research topics
  • Machine Learning
Maria Mircea did her Bachelor’s and Master’s degree in mathematics at the Technical University of Munich (2012-2018). The focus was on mathematical models in biology. Her Master’s thesis was at the Helmholtz Center in Munich at the Institute of Computational Biology, where she used neural networks for single-cell RNA sequencing data (scRNA-seq). Afterward, she did her Ph.D. in Biophysics at Leiden University (2018-2022). She used statistical analysis of scRNA-seq data and mathematical models to understand in vitro stem cell differentiation. Since October 2022, she has joined the group of Jan Hasenauer at the University of Bonn.
Selected publications

Xu Cao, Maria Mircea, Gopala Krishna Yakala, Francijna E van den Hil, Marcella Brescia, Hailiang Mei, Christine L Mummery, Stefan Semrau, Valeria V Orlova. ETV2 Upregulation Marks the Specification of Early Cardiomyocytes and Endothelial Cells During Co-differentiation. Stem Cells (2022). https://doi.org/10.1093/stmcls/sxac086

Noémie Bérenger-Currias, Maria Mircea, Esmée Adegeest, Patrick R van den Berg, Marleen Feliksik, Mazène Hochane, Timon Idema, Sander J Tans, Stefan Semrau. A gastruloid model of the interaction between embryonic and extra-embryonic cell types. Journal of Tissue Engineering (2022). https://doi.org/10.1177/20417314221103042

Maria Mircea, Mazène Hochane, Xueying Fan, Susana M. Chuva De Sousa Lopes, Diego Garlaschelli, Stefan Semrau. Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations. Genome Biology (2021). https: //doi.org/10.1186/s13059-021-02590-x

Maria Mircea and Stefan Semrau. How a cell decides its own fate: A single-cell view of molecular mechanisms and dynamics of cell type specification. Biochemical Society Transactions (2021). https://doi.org/10.1042/BST20210135

Gökcen Eraslan, Lukas M. Simon, Maria Mircea, Nikola S. Mueller and Fabian J. Theis. Single-cell RNA-seq denoising using a deep count autoencoder. Nature Communications (2019). https://doi.org/10.1038/s41467-018-07931-2

Maria Mircea
© Maria Mircea
Dr. Maria Mircea

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Endenicher Allee 64

53115 Bonn