Marianna Rapsomaniki  Marianna Rapsomaniki photo         

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Research Staff Member
Zurich Research Laboratory, Zurich, Switzerland
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Professional Associations:  International Society for Computational Biology

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Marianna joined IBM Research in 2015 as part of the Computational Systems Biology group. Her research focuses on understanding complex biological systems through computational methods, and exploring multiple facets of heterogeneity. She specializes in the analysis of single-cell data using a variety of machine learning approaches, with the ultimate goal of understanding cell and tissue heterogeneity. She is part of MetastasiX, a SystemsX project that studies breast cancer progression to metastasis, searching for targets for new effective therapies. Her general research interests include machine learning methods for the analysis of complex biological datasets (clustering, deep learning, SVMs), data pre-processing (denoising, normalization), feature selection, and data visualization. 

Marianna graduated from the Computer Engineering and Informatics Department in 2007 and the Informatics for Life Sciences Master's program in 2010, both from the University of Patras, Greece. Her PhD was completed in 2014, working jointly in the Cell Cycle Laboratory of the University of Patras and the Automatic Control Lab of ETH Zurich. During her PhD, she worked on stochastic hybrid modeling of biological systems, with applications in modeling of protein diffusion and binding within the nucleus, modeling of DNA re-replication, and parameter inference from experimental microscopy data.

 

News:

CellCycleTRACER: our latest work on quantifying cell volume and cycle heterogeneity, now available as a free web application here.

Current and Prior Positions

IBM Research
Research Staff Member
10/2017 - Present

Postdoctoral Researcher 
05/2015 - 09/2017