CV Science

Jessica Andreani Researcher in Computational Biology & Bioinformatics

Course and current status

I am a computational biologist with a background in theory, experience in statistical modeling, software development and data analysis, and a keen interest in multi-scale macromolecular modeling.

Since late 2015, I have been a researcher in bioinformatics and computational biology in the Molecular Assemblies and Genome Integrity team which belongs to the Structural Biology and Radiobiology laboratory at CEA, France. Our team also belongs to the Institute for Integrative Biology of the Cell.

From September 2013 to September 2015, I was a post-doctoral researcher in the lab of Johannes Soeding (Gene Center, LMU Munich, and Max Planck Institute for Biophysical Chemistry, Goettingen, Germany).

2010-2013: Ph.D. in structural bioinformatics, on protein-protein interactions from a structural and evolutionary point of view.

Scientific summary

My current research focuses on the structural prediction of macromolecular interactions by integrating heterogeneous sources of information such as evolutionary and omics information, while keeping a keen interest in machine/deep learning, data science, statistical modeling and functional genomics.

My young researcher project ESPRINet is funded by ANR. I am looking into the prediction of protein-RNA interaction networks using structural, evolutionary and omics data.

Our team recently developed an updated version of the InterEvDock3 server for protein-protein docking using evolutionary information.

Our team also participates in CAPRI (the Critical Assessment of PRedicted Interactions), a community-wide initiative for testing computational algorithms in blind predictions of experimentally determined 3D structures of macromolecular complexes.

I have been involved in many collaborations with wet-lab biologists. Some recent examples can be found in Marsin et al. (2021), Dai et al. (2021), Rahman et al. (2020), Vilela et al. (2019), Fishboeck et al. (2019).