CANTINI Laura

Young PI (G5) in Institut Pasteur and CNRS permanent researcher. Her research activity is focused on the design of machine learning methods for the integration of single-cell multi-modal data. Mathematician by training, Laura received her PhD in cancer systems biology from the University of Turin (Italy). She then pursued a postdoc in the cancer system biology group at Institut Curie (Paris). In 2018, awarded the L’Oréal-UNESCO for Women in Science and EMBO fellowship, she joined CSAIL at MIT (USA), before being selected as CNRS permanent researcher. She is recipient of the ERC StG 2023, ANR JCJC 2020, Sanofi iTech Awards 2020 and L’Oréal-UNESCO for Women in Science fellow (2018 edition).

Informations

Establishments: CNRS / Institut Pasteur

No thematic

Topic of interest: Single-cell omics data, multi-modal integration, network inference

laura.cantini@pasteur.fr

Personnal website

The timely detection and successful treatment of cancer depends on our ability to understand when, why, and how a subpopulation of cells deviates away from a healthy state or acquires drug resistance. Single-cell multi-modal data, produced at increasing peace, offer the opportunity to tackle these questions. The current major bottleneck is the crucial need for computational methods able to translate this wealth of information into actionable biological knowledge.

CANTINI Laura

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SAMARAN Jules